Advanced Micro Devices, Inc. is an American multinational semiconductor company based in Santa Clara, California, that develops computer processors and related technologies for business and consumer markets.

Advanced Micro Devices Inc. (AMD)

GeForce RTX 4070 TI SUPER gets more attention than the RX 7600 XT on launch day, but still behind the RX 7800 XT when it came out The RTX 4070 Ti SUPER sold in at least 280 units at one German retailer, while the RX 7600 XT only scores 30 sales, reports 3DCenter. The RTX […]

NVIDIA RTX 4070 Ti SUPER outpaces AMD RX 7600 XT sales on launch day 9:1 at German retailer - VideoCardz.com

Russia imported more than $1 billion of advanced US and European chips last year, despite restrictions intended to stop President Vladimir Putin’s military getting hold of technology to fuel its war in Ukraine.

Russia’s War Machine Powered By Chips From Intel, AMD, Infineon, STM - Bloomberg

The AMD Ryzen 9000 series, also referred to as Granite Ridge, has been a topic of discussion and analysis within the technology community. This series, evolving from the previously labeled Ryzen 8000 series, is constructed on the advanced Zen 5 architecture.

AMD Ryzen 9000 Series: New Rumors on Technical Specifications and Release Window

Investors could be looking at a win-win-win scenario in AI stocks.

Why AMD, Applied Materials, and Super Micro Computer Popped Wednesday

That content doesn't seem to exist... have you tried going to the home page, or exploring an interest · Meanwhile, here are some important items you'll want to know:

AMD Gets Another Upgrade. Why the Stock Could Quadruple.

242 votes, 51 comments. 3.5M subscribers in the pcgaming community. For PC gaming news and discussion!

r/pcgaming on Reddit: AMD introduces Fluid Motion Frames in the first official driver for 2024, frame generation for 'any' DX11/DX12 game - VideoCardz.com

AMD's RX 7600 XT may be an updated version of the RX 7600, but it does very little to actually move the needle when it comes to performance.

AMD RX 7600 XT review: similar performance, more money | Digital Trends

AMD's Radeon RX 7600 XT, tested here in XFX livery, is much costlier than its RX 7600 kin, relative to the performance boost it nets you—and it struggles on value against competing Intel and Nvidia graphics cards.

XFX Speedster Quicksilver 309 Radeon RX 7600 XT Review | PCMag

AMD Fluid Motion Frames enters official driver branch, first major release in 2024 The GPU maker introduces Frame Generation to all gamers. The first 2024 driver is a major release with support for two games: Tekken 8 and Like a Dragon: Infinite Wealth. This driver is also an important release ...

AMD introduces Fluid Motion Frames in the first official driver for 2024, frame generation for 'any' DX11/DX12 game - VideoCardz.com

AMD Stock Has Lots More Room to Rise. Analyst Cites AI Opportunity.

Advanced Micro Devices Inc.’s ( ) latest earnings report highlights the company’s impressive performance despite several challenges being faced by the PC industry AMD For the entire year, AMD’s yearly revenue increased by 44% to $23.6 billion. In terms of the company’s financial performance for the fourth quarter, revenue climbed 16% over the prior year to $5.6 billion. The company's sales of embedded products also grew from $3.9 billion in 2021 to $10.6 billion in 2022. Although the fourth quarter saw a 51% decline in revenue for AMD's client segment, which includes PCs, this decline was offset by a 42% increase in revenue for AMD's data center segment. After seeing a rapid expansion during the pandemic, the PC industry as a whole is currently experiencing a significant downturn in sales. CEO Lisa Su attributed these results to significant growth in AMD’s embedded and data center segments, which she said accounted for more than 50% of overall revenue in the quarter. The debut of a new CPU by AMD and its pandemic-era acquisition of specialty chip manufacturer Xilinx is also helping AMD's data center business thrive. “We set annual records for revenue, gross margin and profitability driven largely by a 64% increase in our data centre segment revenue and the strong performance of our embedded segment following our Xilinx acquisition.” Furthermore, AMD's strategic partnerships with major cloud providers have further solidified its position in the data center market, Lisa Su said on the call. “Turning to the fourth quarter business results, starting with our data center segment. Revenue increased 42% year over year to $1.7 billion, led by increased adoption of our EPYC processors by cloud providers. In cloud, sales to North American hyperscalers more than doubled year over year as hyperscale customers continued moving more of their internal workloads and external instances to EPYC processors.” Since being bought a year ago, Xilinx has contributed to AMD’s record sales, driven mostly by high demand for Alveo X3 series boards from the financial services industry. Future Outlook Bloomberg Intelligence analyst estimates that earnings for chip companies, more generally, will decrease 21% this year, but despite this widespread concern about a downturn in the chip industry, AMD is expected to be among the few semiconductor companies to experience growth in 2023. Although AMD on Tuesday forecasted $5.3 billion in sales for the quarter ending in March, a 10% decline in revenue over the prior year, the firm anticipates a stronger second half of this year. Su expects the first quarter to be the bottom for the company in PCs and affirmed that they would grow from there into the second quarter and then into the second half While referring to the company’s earnings for 2022, Su said: "2022 was a strong year for AMD as we delivered best-in-class growth and record revenue despite the weak PC environment in the second half of the year.” Despite not providing full-year forecasts for the company due to economic uncertainty, Su remained certain about the company’s performance outlook. "Although the demand environment is mixed, we are confident in our ability to gain market share in 2023, and deliver long-term growth based on our differentiated product portfolio.” AMD is also participating in the competition for AI. With a couple of new product releases specifically focused on powering AI engines, including the Ryzen 7000 series and MI300 accelerator, Su acknowledged, on the call, the company's focus on AI over the next years, “Over the next several years, one of our largest growth opportunities is in AI, which is in the early stages of transforming virtually every industry service and product.” She further expressed assurance that AMD has a robust product lineup to compete in the AI business. “We expect AI adoption will accelerate significantly over the coming years and are incredibly excited about leveraging our broad portfolio of CPUs, GPUs and adaptive accelerators in combination with our software expertise to deliver differentiated solutions that can address the full spectrum of AI needs in training and inference across cloud, edge and client.” Already, more than 100 of the fastest supercomputers in the world are powered by AMD. The fourth-generation EPYC uses up to 80% less energy. AMD also has 140 fourth-generation EPYC platforms for businesses that are being built by HPE, Dell, Lenovo, Super Micro, and other companies. Overall, Su maintains the stance that the company has an adaptive product portfolio that will enable them to grow revenue and gain market share in 2023.

AMD Posts Q4 Earnings Growth, Despite Industry Challenges; Expects to Capitalize on AI Demand

AMD পোস্টের Q4 আয়ের বৃদ্ধি, শিল্পের চ্যালেঞ্জ সত্ত্বেও; AI চাহিদাকে পুঁজি করার প্রত্যাশা করে

AMD verzeichnet trotz Branchenherausforderungen Gewinnwachstum im vierten Quartal; Erwartet, von der KI-Nachfrage zu profitieren

AMD는 업계의 어려움에도 불구하고 4분기 실적 성장을 기록했습니다. AI 수요 활용 기대

AMD, Sektördeki Zorluklara Rağmen 4. Çeyrekte Kar Artışını Açıkladı; Yapay Zeka Talebinden Yararlanmayı Bekliyor

has shot itself in the foot. After spending years exclusively dominating the graphic card market, the Santa Clara, Calif.-based chipmaker has fallen prey to predatory pricing, stagnation, and, quite frankly, the same shenanigans that 's dominance in the CPU market. Nvidia hurt Intel There's a new competitor in town, and while it has yet to completely usurp Nvidia's lead in the GPU market, it has already started chipping away at its market share. Yes, we're talking about (who else!?), which is likely going to be the next GPU of choice for nearly a quarter of HackerNoon readers that participated in a poll asking which graphic card they were going to buy in the future. AMD To be sure, Nvidia still commands respect, with nearly a third of users choosing to go team green when they buy their next GPU. However, opting for team red was virtually unheard of half a decade ago, even when AMD the long-awaited RX Vega GPUs to compete with Nvidia's wildly popular 10-series cards. announced For the most part, and had dominated the and markets from the early 2000s up until the late 2010s, relegating AMD to a niche given how poorly its chips performed. It didn't really help that AMD was slow to launch new products, and when it did, they would suffer from and , leaving it curiously absent from both the CPU and GPU markets for years on end. Intel Nvidia CPU GPU high power consumption bad thermals Perhaps the only thing that kept AMD afloat during those years were the custom-made chipsets it manufactured for consoles, in particular the Playstation and Xbox, which ultimately ended up becoming a for the Nasdaq-listed firm. But other than that, AMD really hadn't launched any products that had consumers' heads turning. significant source of revenue All of this changed with the 2017 launch of the Ryzen series processors that were based on a new architecture called Zen. Though as its Intel counterpart in gaming, the flagship product from that launch — the Ryzen 7 1800X — came at a spitting distance of Intel's then leader, the i7-8700k, in productivity tasks at a much, much lower price. not necessarily as powerful Meanwhile, less powerful variants of the Ryzen 7 had a similar story to tell: they were cheaper, performed nearly as well as their Intel counterparts in productivity, and notably, came with so budget-conscious consumers didn't have to spend extra. Consumers entering the Ryzen ecosystem also knew that every subsequent processor launch would continue to be based on the , meaning they could simply swap out their older processors for newer ones without . good heatsinks AM4 chipset necessarily changing motherboards Tech enthusiasts hailed the launch of the Ryzen 7 processors due to their potential for in the CPU market, which they did. Every subsequent processor launched since the original Ryzen 7 series has shown , while Intel's processors continue to provide . In fact, a HackerNoon editor was so impressed with the latest AMD processor launch (The Ryzen 9 7900X) that they decided to do the unthinkable: migrate to team red, citing not only the better performance, but, the better economics of being a part of the AMD ecosystem. breaking Intel's monopoly improvements in leaps and bounds incremental benefits over their predecessors AMD has also made gains in the GPU market, starting from the launch of Vega 64, which, while against Nvidia's 10 series products, couldn't necessarily compete with it because of how great the 10 series cards were in terms of both price performance. Vega 64 was also plagued by at launch, though AMD was quick to address those issues as they came along. reviewing modestly and driver issues But Nvidia got smug with the launch of the successor to the 10 series, perhaps hoping that consumers and tech enthusiasts would fall for its marketing and a promise for better-looking games with the ray-tracing feature. Sadly for Nvidia, , noting at the time that the 20 series cards were only incrementally better than their predecessors and the ray-tracing feature that Nvidia was charging a premium for was yet to be available across major video game titles. We personally termed the release as a 'meme launch,' signifying that anyone with a bit of time and research could figure out that the card was simply meant to make money and didn't really offer anything beyond a promise of a technology that had yet to reach fruition. Not to mention, it wasn't even at said technology (ray tracing). reviewers panned the release that great Meanwhile, AMD still hadn't hit the mark, with the RX 5000 series cards that were supposed to compete with Nvidia's 20-series products in power consumption, thermals, and drivers. As the 30-series launch came along and Nvidia seemed to have course corrected, AMD too did not disappoint, with the RX 6000 series from reviewers for its performance, price, and . facing issues getting praise availability Which brings us to the present: the Nvidia 4-series. And oh my god, it looks like history is repeating itself. This is yet another 'meme release' panned by reviewers for price, performance, and (not to mention ). Meanwhile, AMD's upcoming RX 7000 series cards are already touted to be than what Nvidia has put out. power consumption the issue that shall not be named cheaper and better https://www.youtube.com/watch?v=i2_xTUshy94?embedable=true All of this to say: we get it. Nvidia, just like Intel, has become a fat, lazy dragon content with its dominance from the glory days. In contrast, AMD has consistently targeted consumers that were long forgotten by the titans: the budget gamers, who, by all accounts, make up an . By positioning itself as the to market behemoths, AMD has been able to claw away at its competition, all the while investing money in R&D so it too could produce products that could compete with some of the best tech out there for cheaper. overwhelming majority of PC users less expensive alternative Surprisingly, a very small portion of HackerNoon readers might also opt for an Intel graphic card. While not exactly known for their graphical prowess, Intel's integrated GPUs have long been a mainstay of laptops, particularly at the lower price point. Reviewers have hailed the launch of Intel's Arc series desktop GPUs for the same reasons as they did for AMD's processors: , even if team blue's new product is . With Intel's entry into the desktop GPU market, we can now only hope for a gold trifecta in which no single company calls the shots, and all three competitors keep their peers in check with performance and pricing. Only time will tell. competition subpar at best To wrap things up, while we know what team HackerNoon readers are leaning toward if they want to purchase a graphic card, we also know (based on the poll results) that a good chunk of readers are unlikely to buy a new graphic card anytime soon. It could be the price, the availability, or the fact that they probably don't care about a graphic card and are likely not consumers who have a need for a dedicated GPU. , they follow a simple principle: they don't upgrade unless what they currently have is no longer giving them the performance they seek. Or To participate in Hackernoon’s current poll, head down to the following . link

Nearly 25% of HackerNoon Readers to Opt for AMD GPUs Next

Casi el 25 % de los lectores de HackerNoon optarán por las GPU de AMD

Près de 25% des lecteurs de HackerNoon opteront pour les GPU AMD Suivant

हैकरनून के लगभग 25% पाठक अगले एएमडी जीपीयू को चुनेंगे

HackerNoon の読者の 25% 近くが AMD GPU を選ぶ

Quase 25% dos leitores do HackerNoon optarão por GPUs AMD em seguida

Gần 25% người đọc HackerNoon chọn GPU AMD

接下来将近 25% 的 HackerNoon 读者选择 AMD GPU

The latest-gen gaming hardware promised to make a real difference in the gaming and technological world. This new generation of gaming included the latest PlayStation 5, Xbox Series X/S, the Nvidia RTX 30-series lineup, and the AMD RDNA2 series of GPUs. Even though it has been around six months since their release, most consumers still haven't gotten a chance to upgrade their systems/setups for many reasons, including limited stock availability. Especially in the PC GPU market, prices of GPUs skyrocketed just after their releases, and currently, you can hardly get your hands on one of these latest-gen GPUs. Finding one latest-gen GPU for their launch prices or at least for reasonable prices is impossible, and finding stock of them is  similarly hard. So what might be really causing this massive worldwide GPU shortage? Is Cryptocurrency Mining the Reason for the GPU Shortage? As GPUs have gone scarce as hens' teeth, people have already started pointing fingers at who they think might be responsible for this historical shortage. Consumers, especially gamers, have started blaming crypto miners for the worldwide GPU shortage, but without proper evidence, the question of who caused the real shortage still stands. It is not a secret that cryptocurrency mining has become a flourishing market, and the number of investors for it grows by the day. Especially the COVID-19 global pandemic encouraged more miners to join the market. This ultimately caused a great demand for GPUs in 2020. It is also a known fact that crypto mining usually relies on the raw processing power of GPUs, and has increased the demand for GPUs. Fortunately for the miners, the leading manufacturers in the GPU market, Nvidia and AMD, decided to release their next-gen GPU lineup around the same time. Both the latest GPU lineups from AMD and Nvidia were ideal for crypto miners as this new-gen was a massive leap from the previous gen, performance, and power consumption wise. the increasing crypto miner growth As a result, miners now empty the GPU stocks as soon as they restock or a new GPU gets released. They often buy not one but multiple GPUs for their mining farms (rigs), leaving the rest of the consumers angry and empty-handed. Worst of all mining usually runs these GPUs at the full potential 24/7, and this causes their silicon to degrade faster and die quickly. But the question still stands, are miners the real reason for the shortage? The answer to that question is as complicated as the crypto-mining  itself. Even though crypto miners contribute to a huge share of the current GPU demand, they aren't exactly the only reason or even the main reason for the shortage. Just like in all other markets, the global pandemic has also affected the GPU market by creating a higher demand and restricting the supply. The pandemic has forced people to stay at home and work from home, and most people have made this an opportunity to either upgrade their PC setups or build new ones altogether. This has greatly increased the demand for GPUs in the mid to late 2020. The issue still exists after more than a year since the pandemic affected our day-to-day lives. Not only the pandemic but also other industries that use silicon chips have contributed to this great GPU shortage. Even though experts show that miners aren't exactly the real reason behind the shortage, they could become a real threat to the future of the tech world as crypto mining consumes GPUs faster. The Increased Demand Silicon is a main component/resource in the manufacturing process of all sorts of processors and other computer chips. With the introduction of many smart gadgets and electric vehicles in the past few years, the demand for silicon chips has increased considerably. The problem is that even though the demand for silicon chips increases by the day, the manufacturing of silicon chips or semiconductors has deteriorated with the complications that came with the COVID-19 pandemic. Taiwan Semiconductor Manufacturing Company Limited and Intel Corporation are two of the main semiconductor producing companies in the world. They provide the majority of worldwide silicon needs. Unfortunately, the pandemic added restrictions to the production of silicon indirectly. This has caused the manufacturers to limit the supply of chips fulfilling only a fraction of the current demand. Fortunately, most of these issues are being overcome by the day. The manufacturing processes should all return to normal in a matter of time. But will it still be enough to overcome the shortage? Rich Miners The limited supply and the increased demand have really made the new GPU prices skyrocket soon after their releases. This has also made a marketplace for scalpers who sell these GPUs at great prices. Most gamers/consumers are also restricted by these price increases. This is not really a problem for miners as they are ready to spend thousands of dollars on GPUs. They usually earn more from them. This leaves average consumers no real choice but to cave in. They must buy an extremely overpriced GPU or settle for a used or an older GPU. So as long as miners are actively hunting for GPUs in the current market, gamers really have no choice but to wait. But what if alternatives for miners are introduced, or the performance of the latest-gen GPUs is cut off in mining processes? Nvidia Limits Crypto Mining on their Latest RTX 3060 RTX 3060 was Nvidia's fifth card in the 30-series lineup, and Nvidia tried to tackle crypto miners with its release. They stated that the software for its upcoming GeForce RTX 3060 would be . This made the card less appealing for Ethereum miners Ethereum is one of the biggest GPU-mineable cryptos in the current world. Instead, Nvidia plans on introducing a range of crypto-currency mining processors (CMPs) to counter the GPU demand by miners. However, it again raises a question if Nividia is greedy by utilizing the most important finite resource in the market, silicon, on CMPs when they could be using them on increasing the production of consumer-grade GPUs in the first place. cutting off Ethereum mining efficiency by 50% When Will Things Get Back to Normal? Still, the demand for GPUs easily exceeds the supply. This is predicted to last for at least another year. The semiconductor manufacturers are slowly recovering, and things are getting back to normal but really slowly. The semiconductor demand comes from not only the GPU manufacturers but all sorts of tech industries such as mobile phones, CPUs, and even automobiles. Experts and Nvidia themselves predict that shortages likely to continue at least until Q4 2021, if not into 2022, and AMD fans can expect the same. Read more about Nvidia's statement about how "crypto mining didn't really affect" their RTX 30-series launch from here. Solutions in the Meantime If you are looking to upgrade your PC or building a brand new one but reluctant to spend ridiculous amounts on GPUs, there is still hope for you in the current market. The best thing to do right now is to settle for an older-gen GPU or a used one until the new-gen GPUs come back in stock and their prices decrease. A last-gen GPU, an RTX 20-series card, or an RX 5000 series card is just fine for today's gaming and professional needs. However, you might still find it a little hard to find a brand new previous gen card, so the ideal solution is to go with a used card. If you search hard enough, you might be able to find a decent mid/high-end GPU for a reasonable price amongst scalper prices. The latest-gen Nvidia RTX 30-series cards and AMD Radeon RX 6000-series cards on their own are pretty hard to find. But there are many sites and manufacturers that offer pre-built systems with these new graphics cards. The best part about them is that compared to spending thousands on the GPU alone, these pre-built PCs are reasonably priced too. If you don't mind compromising some performance for portability and convenience, gaming laptops are also a great way to get your hands on the latest-gen GPUs. And if you really want to get your hands on a juicy RTX 3080 or an RTX 3070, or an RX 6700XT, you can wait out the shortage until prices start to settle down and stocks start to pile up. The COVID-19 restrictions will eventually lift, and things will come back to normal eventually. Unfortunately, this won't be happening anytime soon. If you are still determined to wait it out, you might even be able to save an extra few bucks to go for an upgraded version when things come back to normal. If you haven't got the patience, you can check out the current and find a good deal. RTX 3070 pricing

The Shortage of AMD and Nvidia GPUs Causes Gamers Grief

Want to train machine learning models on your Mac’s integrated AMD GPU or an external graphics card? Look no further than PlaidML. Anyone who has tried to train a neural network with TensorFlow on macOS knows that the process kind of sucks. TensorFlow can only leverage the CPU on Macs, as GPU-accelerated training requires an Nvidia chipset. Most large models take orders of magnitude more time to train on a CPU than on even a simple GPU. To make matters worse, many Macs have powerful discreet AMD GPUs that are forced to sit idle while training. TensorFlow only supports Nvidia devices, which are incompatible with macOS. This is where plaidML comes in. Rather than pay for time on a cloud-based system or purchase a new machine, you can install PlaidML and use it to train Keras models right on your Mac’s graphics processor. TensorFlow serves as a backend for Keras, interpreting Keras’ high-level Python syntax and converting it to instructions that can be executed in parallel on specialized hardware like a GPU. PlaidML is an alternative backend for Keras that supports parallelization frameworks other than Nvidia’s CUDA. On a Mac, you can use PlaidML to train Keras models on your CPU, your CPU’s integrated graphics, a discreet AMD graphics processor, or even an external AMD GPU connected via Thunderbolt 3. I first started poking around with PlaidML because I was looking for a way to train a deep convolutional neural network on a very large image dataset. I attempted to do this in Google’s Colab, but the online tool proved to be very frustrating for long-running jobs. I had a gathering dust, so I wanted a way to use it to train models locally with my MacBook. Radeon RX580 eGPU After a few quick steps, I was up and running with PlaidML. Here’s how you can use it on your system. First, . I highly recommend using virtual environments here to isolate your PlaidML installation from the rest of your system. install PlaidML via pip PlaidML’s power comes with its simplicity. After installation, activating your GPU is as simple as running plaidml-setup After selecting whether or not you want to enable experimental features, this tool will ask you which computational device you’d like to use. You should see a list like the following: 1 : llvm_cpu.0
2 : metal_intel(r)_hd_graphics_530.0
3 : metal_amd_radeon_pro_450.0
4 : metal_amd_radeon_rx_580.0 The first option is my CPU, the second is the Intel integrated graphics inside my CPU, the third option is the discreet AMD GPU in my 15" MacBook Pro, and the fourth option is my RX 580 eGPU. I absolutely love how easy it is to switch processors; this allows me to train simple models on-the-go with my laptop’s discreet GPU and use my eGPU for heavier tasks. The only caveat here is you no longer have access to TensorFlow features such as TensorFlow Datasets. All code you write needs to be in pure Keras. I haven’t found this to be much of a limitation, and it leads to more portable software anyway. PlaidML also works with Nvidia GPUs, so if you work on a team that uses different GPU architectures PlaidML makes things very easy. Using PlaidML as Keras’ backend is as simple as the following: os environ
environ[ ] = keras from import "KERAS_BACKEND" "plaidml.keras.backend" import And that’s literally it. Below is a complete example that you can try on your own system after installing PlaidML. It trains a very simple neural network with one hidden layer that sums input vectors. numpy np os environ
environ[ ] = keras keras.layers Dense matplotlib pyplot plt num_samples = ; vect_len = ; max_int = ; min_int = ; X = np.random.randint(min_int, max_int, (num_samples, vect_len))
Y = np.sum(X, axis= ) split_idx = int( * len(Y))
train_X = X[:split_idx, :]; test_X = X[split_idx:, :]
train_Y = Y[:split_idx]; test_Y = Y[split_idx:] model = keras.models.Sequential()
model.add(keras.layers.Dense( , activation= , input_shape=(vect_len,)))
model.add(keras.layers.Dense( ))
model.compile( , )

history = model.fit(train_X, train_Y, validation_data=(test_X, test_Y), \
                    epochs= , batch_size= ) plt.plot(history.history[ ])
plt.plot(history.history[ ])
plt.title( )
plt.ylabel( )
plt.xlabel( )
plt.legend([ , ], loc= )
plt.show() import as from import "KERAS_BACKEND" "plaidml.keras.backend" import from import from import as # Params 100000 20 10 1 # Generate dataset 1 # Get 80% of data for training 0.8 # Make model 32 'relu' 1 'adam' 'mse' 10 100 # summarize history 'loss' 'val_loss' 'model loss' 'loss' 'epoch' 'train' 'test' 'upper left' You can try this on different computing devices. You will likely find that training this model on your CPU is faster, as the dataset is very small and the model very simple. You will notice a significant speedup for more complex models, however. You can find some heavier tests on the . PlaidML GitHub page So far, PlaidML has been awesome. Intel now in some way with PlaidML’s development, so hopefully this will ensure that PlaidML is around for a long time. appears to be involved I hope you found this article useful. Check out . more of my writing here Also published at https://alexwulff.medium.com/machine-learning-on-macos-with-an-amd-gpu-and-plaidml-55a46fe94bc0

Use plaidML to do Machine Learning on macOS with an AMD GPU

, co-founder of began his journey as a University of Nevada, Las Vegas (UNLV) student and is now an influential figure in the global tech community. He embodies the essence of innovation and ambition so many founders aspires to. Tomasik most attended the AMD Advancing AI Event, where TensorWave announced a significant partnership. Piotr Tomasik TensorWave Inc. A UNLV College of Engineering alumnus, Piotr's journey is not just about personal success; it's a testament to the potential of Las Vegas's tech sector. His role in co-founding TensorWave Inc. and steering it towards groundbreaking collaborations is a beacon of inspiration for upcoming tech enthusiasts in the city. Under Piotr’s guidance, TensorWave has not only made strides in AI technology but also cemented Las Vegas's position on the global tech map. The recent partnership with AMD and GigaIO, leading to the development of the TensorNODE infrastructure powered by AMD Instinct MI300X accelerators, is a milestone in AI technology. This collaboration isn't just a technological triumph; it's a narrative of how local talent can propel a city into the limelight of the global tech arena. A Testament to Local Talent: Piotr Tomasik’s Impact on Las Vegas Las Vegas Chief Information Officer Michael Lee Sherwood's commendation of Piotr Tomasik underscores the significant impact he has had on the city’s technology landscape. Sherwood’s praise highlights how Tomasik's innovative approach and commitment to excellence have not only accelerated the growth of the local tech sector but also enhanced Las Vegas's reputation as a hub for advanced AI solutions. “In my eight years as the CIO for the City of Las Vegas, I've had the privilege of witnessing firsthand the remarkable impact Piotr Tomasik has had on our technology landscape. Piotr's innovative approach and commitment to excellence have not only accelerated the growth of our local tech sector but have also placed Las Vegas on the map as a hub for advanced AI solutions. Celebrating our local tech leaders is a cornerstone of our city's evolution into a leading smart city, driven by cutting-edge technology and ambitious talent.” Beyond his achievements with TensorWave and the groundbreaking TensorNODE infrastructure, Piotr Tomasik's career spans various critical roles in the tech ecosystem. As a celebrated Las Vegas Top Tech Exec, a Vegas INC 40 under 40 awardee, and a proud UNLV Alumni of the Year, Piotr's contributions extend well beyond individual companies. His co-founding of StartUp Vegas and active role as a General Partner at Vegas Tech Ventures signify his dedication to cultivating a thriving tech community. Piotr's involvement as an advisor to numerous tech-focused organizations further underscores his commitment to guiding and nurturing the next generation of tech innovators. This multifaceted experience makes Piotr a beacon for aspiring entrepreneurs and investors alike, proving his expertise is not just in technological innovation but also in fostering a vibrant startup ecosystem. The Future of AI and Las Vegas: Piotr's Vision Piotr’s vision extends beyond technological advancements; it's about elevating Las Vegas in the global tech community. His excitement about bringing TensorWave's innovative solutions to the global market, in collaboration with industry giants like GigaIO and AMD, reflects his dedication to both his hometown and the broader field of AI.

POWER LEADER: TensorWave co-founder Piotr Tomasik secures key partnership at AMD Advancing AI event 

A Deep Dive Into Amdahl’s Law and Gustafson’s Law

আমডাহলের আইন এবং গুস্তাফসনের আইনের গভীরে ডুব দেওয়া

Ein tiefer Einblick in das Gesetz von Amdahl und Gustafson

Una inmersión profunda en la ley de Amdahl y la ley de Gustafson

Une plongée approfondie dans la loi d'Amdahl et la loi de Gustafson

अमदहल के नियम और गुस्ताफसन के नियम की गहन जानकारी

アムダールの法則とグスタフソンの法則の詳細

Amdahl의 법칙과 Gustafson의 법칙에 대한 심층 분석

Um mergulho profundo na lei de Amdahl e na lei de Gustafson

Глубокое погружение в закон Амдала и закон Густавсона

Amdahl Yasası ve Gustafson Yasasına Derin Bir Bakış

Đi sâu vào Định luật Amdahl và Định luật Gustafson

深入研究阿姆达尔定律和古斯塔夫森定律

Looks like AMD has . finally done it After months of wrangling and being relegated to second fiddle against Nvidia's might in the AI hardware space, the company has finally offered more clarity about its future in the industry. Last week, the company its third-quarter earnings, and by all means, everything seemed to be doing A-OK. But what caught everyone's attention were comments surrounding the company's MI300 chips, the supposedly cheaper alternative to Nvidia's advanced H100 hardware, that currently serve as the backbone of servers training AI models. reported Specifically, AMD for the first time that it expected to sell a whopping $2 billion of its AI chips in 2024. According to Reuters, this is significant for a number of reasons: for one, the market at large had no idea up until the release of the company's earnings as to how much the company expected to sell these chips, so a sales forecast is a win for the company, indicating that there is demand for its product (and why wouldn't there be? Considering that Nvidia's hardware costs an arm and a leg!). told markets Second, with such a large sales figure, Reuters was again quick to point out that the MI300 chips may very well represent the fastest product to ramp to $1 billion in sales in AMD's history. This means the company is going to get very, very valuable in the future if it's able to pull the wool over Nvidia's eyes. Now, while AMD experienced a market rally, competitor Nvidia experienced the , all thanks to Joe Biden. exact opposite Ah, good ol' Joe. All it takes is one signature and somebody's day is ruined. Well, in this case, it was Nvidia's day that got ruined after it found out that it could not ship $5 billion worth of chips to Chinese companies under an export restriction placed by the Biden administration. Ouch! Nvidia ranked #31 on HackerNoon's Tech Company Rankings. 💻 Apple Brings Out the New Macs Big week for last week, though not without the company's share of troubles. Apple The world's most valuable company released its earnings this past week, and things might have looked OK, except that the company's stock after it warned that it might not sell as many devices during the holiday season, particularly iPads and wearables like the Apple Watch. took a bit of a hit The company is also facing stiff competition in places like China where competitor Huawei and other local smartphone sellers are creeping up on the iPhone manufacturer to win over consumers. Meanwhile, the company announced a new line of Mac PCs that will be powered by its redesigned and supposedly powerful M3 line of chips. The new PCs are focused on professionals, like those developing softwares, and are expected to perform better than previous-gen hardware that came with Intel chips. Apple ranked #3 on HackerNoon's . Tech Company Rankings 👋 You’re reading of HackerNoon's Tech Company News Brief, a weekly collection of tech goodness that combines HackerNoon's proprietary data with internet trends to determine which companies are rising and falling in the public consciousness. went live yesterday. Prefer reading the whole thing a day early AND in one go? No problemo! Just subscribe to receive the newsletter in your inbox every Tuesday. part 2 Part 1 here complete In Other News.. 📰 Sam Bankman-Fried might not be the last crypto criminal — via . The Verge Musk to integrate xAI with social media platform X — via . Reuters Lidl owner and Bosch Ventures co-lead $500M Series B into German AI start-up Aleph Alpha — via . TechCrunch Facebook and Instagram users in Europe can now opt out of ads — for a price — via . CNN Gaming has hits, but few know how big they are — via . Axios Google faces off with Epic Games as it enters its second antitrust trial in two months — via . CNBC And that's a wrap! Don't forget to share this newsletter with your family and friends! See y'all next week. PEACE! ☮️ — Sheharyar Khan, Editor, Business Tech @ HackerNoon *All rankings are current as of Monday. To see how the rankings have changed, please visit HackerNoon's page. Tech Company Rankings

The Tech Company News Brief: AMD is Going to be A-OK!

টেক কোম্পানি সংবাদ সংক্ষিপ্ত: AMD A-OK হতে যাচ্ছে!

The Tech Company News Brief: AMD wird in Ordnung sein!

Resumen de noticias de The Tech Company: ¡AMD va a estar bien!

The Tech Company News Brief : AMD va être OK !

टेक कंपनी समाचार संक्षिप्त: एएमडी बिल्कुल ठीक होने जा रहा है!

テクノロジー企業ニュース概要: AMD は A-OK になる予定です!

기술 회사 뉴스 요약: AMD는 A-OK가 될 것입니다!

Resumo de notícias da The Tech Company: A AMD vai ficar bem!

Краткое изложение новостей технологической компании: AMD будет в порядке!

Teknoloji Şirketi Haber Özeti: AMD iyi olacak!

Tóm tắt tin tức của công ty công nghệ: AMD sẽ hoạt động bình thường!

科技公司新闻简报：AMD 一切顺利！

CEO Satya Nadella recently the tech industry was unforgiving to companies that do not adapt to change. Microsoft said Apparently, never received that message, which cost the company billions in its market cap after investors punished it for not taking its competition seriously enough, particularly , which has been team blue's apparent monopoly in the personal computers industry. Intel AMD slowly eroding Team blue its earnings this past week, and the results both shocked and underwhelmed investors who responded by wiping off of the company's market value and creating a new headache for CEO Pat Gelsinger, who himself took the helm just a couple of years ago to help Intel . laid bare $8 billion course correct Results showed that the company $14 billion in fourth-quarter 2022 revenue, down 32% year over year, and posted a net loss of $664 million, or 16 cents per share, for the closing months of 2022, sliding into the red territory after booking a profit of $4.62 billion, or $1.13 per share, in the same quarter of 2021. generated Full-year 2022 results weren't any better: revenue dropped 20% year-over-year to $63.1 billion, while profit was down a whopping 60% to $8 billion, or $1.94 per share. Most alarming though was the drop in revenue in Intel's Client Computing Group, or CCG, a business unit that is responsible for producing desktop processors, such as the recent 13th Gen line of products. And well, we'll just let the results do the talking… Could one really blame Intel for AMD seriously enough? It's true that AMD had from the personal computers industry during the early 2000s to late 2010s period for failing to invent functional products, but it's also true that Intel got lazy after becoming the undisputed king of processors during that period. not taking all but disappeared Maybe Intel thought AMD would fumble yet again after the 2017 launch of the Ryzen series processors and it would continue to dominate the market in an "I told ya so" moment — except, that team red hasn't, and with every subsequent processor launch, its products have gotten cheaper and better. Could this be Intel's watershed moment? Who's to say? So far, all manners of analysts on Wall Street have on the company's stock given both the earnings result and the CEO Pat Gelsinger has painted for the immediate future. cut their price targets bleak picture Should Intel's stock price reverse its downward trend, we'll let you know. 👋 You’re reading HackerNoon's Tech Company News Brief, a weekly collection of tech goodness that combines HackerNoon's proprietary data with internet trends to determine which companies are rising and falling in the public consciousness. Tell your friends and family to subscribe . here 🧑‍⚖️ New U.S. Lawsuit Threatens Google's Dominance in Online Advertising 's is now at a of losing parts of its advertising technology unit after the U.S. government filed a lawsuit accusing the Silicon Valley darling of stifling competition in online advertising. Alphabet Inc. Google higher risk While Google has denied the allegation, the lawsuit details prior attempts by the search engine giant to crush competitors seeking to usurp its dominance in the advertising market, including one nicknamed " ". Project Poirot Google ranked #9 in this week's Tech Company Rankings. ChatGPT — Now Coming to a Quiz Near You 🧙 Remember those viral internet quizzes that everyone, including your grandma, had taken at least once in their lifetime and shared results of on their Facebook feed? Well, you’re in luck because their creator — Buzzfeed — is returning with a BANG! But instead of enlisting the help of tens (if not hundreds) of paid staffers and unpaid contributors to generate quizzes, the self-described premier digital media company will be capitalizing on advances in artificial intelligence — particularly OpenAI's ChatGPT — to push out content that will help tell you which Hogwarts house you belong to based on the kinds of protein you eat (lol). Being by Buzzfeed is the latest feather in ChatGPT's cap, which has already had the ever since it became public. adopted internet incensed Microsoft, which has in ChatGPT creator OpenAI, was trending #51 this week. invested heavily 📰 In Other News.. Facial recognition tech is pretty racist. . No, really Microsoft's big AI ambitions just OpenAI and ChatGPT. go beyond Federal agents dismantled the Hive ransomware group, helping in ransom demands. thwart over $130 million , which ranked #1 this past week, is manufacturing operations in the U.S. in an attempt to earn tax credits. The move will make the company even more competitive in the automobile industry. Tesla expanding Here's a look at what the of FTX means for the future of the crypto industry. collapse And that's a wrap! Don't forget to share this newsletter with your family and friends! See y'all next week. PEACE! ☮️ — Sheharyar Khan, Editor, Business Tech @ HackerNoon

Intel Just Got Pounded For Not Taking AMD Seriously Enough

এএমডিকে যথেষ্ট গুরুত্ব সহকারে না নেওয়ার জন্য ইন্টেল কেবল আঘাত পেয়েছে

Intel wurde gerade dafür kritisiert, dass es AMD nicht ernst genug genommen hat

Intel acaba de ser golpeado por no tomar AMD lo suficientemente en serio

Intel vient de se faire pilonner pour ne pas prendre AMD assez au sérieux

एएमडी को गंभीरता से नहीं लेने के कारण इंटेल की आलोचना हुई

Intelは、AMDを十分に真剣に受け止めていないことで叩かれました

인텔은 AMD를 충분히 진지하게 받아들이지 않았다는 이유로 비난을 받았습니다.

A Intel foi criticada por não levar a AMD a sério o suficiente

Intel, AMD'yi Yeterince Ciddiye Almadığı İçin Dövüldü

Intel vừa bị trừng phạt vì không coi trọng AMD

英特尔因没有认真对待 AMD 而受到重创

Hey Hackers! With the end of the year coming around, it is time for new and hardware releases! And we want to know how you plan to spend this tech season. Below are some hot topics paired with writing templates for you to easily share your thoughts with the HackerNoon community. technology This Week’s Topic Suggestions from HackerNoon Editors released its new line of iPhones and Apple Watches, and now is set to follow on Oct. 6 with its own . Apple Google Pixel event What do you think of Apple’s new iPhones and watches? Have we reached peak smartphone yet? . Let us know your thoughts here The world of hardware is as hot as a Carolina Reaper right now with in the CPU wars. just released their new line of Ryzen CPUs and Intel is looking to respond in force with their 13th gen CPUs launching Oct. 20. AMD and Intel at each other’s throats AMD ? Who do you think is going to win the war of the CPUs between AMD and Intel In the land of GPUs, is launching their and wallet-emptying of GPUs, with the flagship RTX4090 coming out Oct. 12 for an eye-watering $1,600. Intel is also going ahead with the full-scale launch of its more budget-oriented and AMD is prepping its lineup of next-generation RDNA 3 GPUs and plans to launch them before the end of the year. Nvidia ground-breakin g RTX4000 series ARC series of GPUs ? Are AMD and Nvidia going to continue dominating the GPU space or is Intel going to be a dark horse that will come and take the crown from them October is set to be a doozy with a bunch of new games coming out, such as Overwatch 2, A Plague Tale: Requiem, , Bayonetta 3 and Call of Duty: Modern Warfare 2. - Do all these game releases get you hyped up? Gotham Knights ! Share your thoughts with us here Product Updates for Writers Meanwhile, the HackerNoon team is always thinking about the writers who use our platform and how to improve their experience. We have now made it possible for you guys to or a JSON file to easily share your stories with others, share your portfolio, or save a copy offline. export your HackerNoon articles into a PDF We hope you enjoy this edition of HackerNoon's weekly writer notes, curated by our diligent team of editors, who improved and ! published 236 stories out of 458 submissions from the past week

Who is Going to Win the CPU War Between AMD and Intel?

¿Quién va a ganar la guerra de CPU entre AMD e Intel?

Qui va gagner la guerre des CPU entre AMD et Intel ?

एएमडी और इंटेल के बीच सीपीयू युद्ध कौन जीतने वाला है?

AMD と Intel の CPU 戦争に勝つのはどちらか?

Quem vai ganhar a guerra da CPU entre AMD e Intel?

Ai sẽ chiến thắng trong cuộc chiến CPU giữa AMD và Intel?

AMD 和 Intel 的 CPU 大战谁来赢？

Photo by on Uriel Soberanes Unsplash Who is the real "BOSS of Graphics card" is yet to decide, what I see is, this phase to bring up the winner is not coming anytime soon, since they both are on each other's throat for so long. Am I exaggerating? But what should I do when things look like this already. It’s open yet home to the most demanding gamers and games. It’s backwards compatible yet powerful enough to deliver on the promise of whatever’s next- via Nvidia newsroom On the account of anticipation as a Tech writer, I truly believe what next to come will be more and new innovative features will going to add. However, I am not here to put statistics of both the competitors in front of you and who had started first, which I am very much sure no one is interested to know. Honestly I don't have any interest as well in digging there graves and conducting an autopsy on each of every GPU they have released in the past years. The whole debate is just going and going without putting a stop and both are still struggling to become the best among all. Who monopolize the market of and who will be on the cover is just transforming into another war nonetheless. Though, this similar competition is faced by the people who want the and rendering as well. graphics card best graphics card for video editing I am no doubt the most craziest person on this planet (let me know if my twin exists) who is always got freaked whenever a new release of graphics card or a processor took place. There is the launch, here I am who want the newborn to be the part of my system, whether its Nvidia, AMD or Intel. Let's get to the point, if you are a game enthusiast or an animator, you certainly would not settle for less when talking about the graphics of your PC. The same goes for millions of people who belong to professional world and are not in a mood to make any compromise. Nvidia and AMD has there own benchmarks in different grounds, where they outperform and beat each other, on which if we compare both, it would be an unjustified act. For instance,  when it is about the budget graphics card, AMD dominate. Whereas when its turn to top notch performance, Nvidia is the only the bait. Which is the best Nvidia graphics card in terms of performance? - The beefy performer. In the end of the year 2018, I was very fond of GeForce 20 Series that is the Nvidia TITAN RTX with the 18.6 billion transistors, which is the top among its peers in the series. It has 1350MHz base clock and goes up to 1770MHz boost clock. At that time it was a nice configuration with 24GB VRAM GDDR6 Bus type, a solid competitor for all. Then it wasn't late when in the month of July 2019, another release of new Nvidia GeForce 20 series join the battalion. Certainly, another best struck to all the gamer in the name of . This is a pricey pie yet a powerful GPU, accelerates performance up to 1815MHz boost clock with the base clock of 1650MHz. GeForce RTX 2080 Super With this GPU, my experience is simply amazing. The RTX 2080 Super comes with possible rectifications of its predecessor RTX 2080, however less expensive compared to its older version. Perhaps the best choice for 4K and 1440p gaming. With its Turing Architecture, Nvidia RTX 2080 Super provide seamless performance in the high end gaming. You will get up to 60FPS whilst playing the Shadow of the Tomb Raider, Battlefield V or Assassins Creed Odysseys and many similar latest games at medium graphics settings. Which is the best AMD graphics card in terms of performance? - the budget GPU. Here is the AMD, a well known as a cheap graphics card. Although, they are less costly, the performance is quite good but not that awesome to replace Nvidia graphics cards. I own in my system, it was launched in the month of July 2019 side by side to Nvidia GeForce RTX 2080 Super. Keeps me very happy while gaming. Indeed, the ever best GPU that calls a crowd in no time, specially the gamers. Radeon RX 5700 XT Its RDNA design is made for intensive gaming sessions that pushes me to the next level of entertainment. The frame rates in a gaming is not much different from Nvidia GeForce RTX 2080 Super. Talking in technical language, this chip is more dedicated towards the gaming and E-sports. Now talking about when I bought this Radeon RX 5700XT, it is a 8GB GDDR6 graphics card. Its base clock allows me to perform at 1605MHz base clock, although if you need to overclock, its performance goes up to 1905MHz with 448GB/s memory bandwidth. Ensures you get the incredible performance in all regards. Above are the features of both the Nvidia and AMD graphics cards. The matter of consideration here till now is they both are launched in the same month and in the same year. Both are equally efficient in terms of performance whether its simple computing, streaming, browsing or gaming. One is budget graphics card and other is the little cheesy comparatively, with more or less same level of efficiency and performance. But the question is, is it possible to compare both of them other then performance and price? The answer is a big No. Frankly speaking, its like comparing a goat with a sheep and its not justified to do so. You can't compare CUDA Cores with Stream processors, Nvidia G-Sync with AMD Free Sync. Both the synchronization Technologies and software, they operate differently to provide the required outcome and have upper hand in different segments. Therefore, the battle to compete with each other seems like it is not going to end, might be in future but not now nor was in past few years we got any results. My experience with both the graphics card is quite good, both delivers stutter free and lag free frames in which real time ray tracing is there to give the rich content, whether its gaming or video animation/editing work. Summing up, if you are under the tight budget yet in a dire need to build your PC in order to get the same top notch performance then AMD Radeon RX 5700XT is the most reliable option. On the other hand, if you are not bound in a budget constraint, then Nvidia GeForce RTX 2080 Super is there to meet your graphic needs in a quite impressive way. Hence, better to not to compare both of the competitors, although they are rivals but there path or should say mechanism to fulfill the graphics need is different. Consequently, I would suggest to wait for the time when one of them is really going to climb the ladder in more than one step and left the other behind. However, just wait and watch like me and hold the breathe on every up coming release in the expectation to get the winner out of it.

Nvidia Vs Amd Graphics Card: Where This Never-ending War Lead Us

The Reds or the Greens? What are the technologies behind? Cool AMD and cooler Nvidia, or vice-versa? Which one makes the most money out of the buck? Answering all these questions in the following article and sharing tips on how to get the best GPU! GPU architectures AMD and Nvidia rival each other for the mining GPUs niche. (As well as in any other niche.) Companies offer different technologies and approaches to attract customers of different needs. The image below depicts the most recent GPU architectures, one next to another, to understand each's engineering differences. AMD Navi & Nvidia Turing architecture comparison The critical distinction between the two (apart from the block construction) is in the task scheduling. Nvidia utilizes a universal platform to plan and compute simultaneously in a two-step cycle; it is called CUDA. On the other hand, AMD went for a process separation with the SIMD and four events in a cycle. Given the differences, the thing is that none of the approaches reaches the performance limits in terms of bandwidth of an architecture. These simply do not affect hashrates or frames per second at all. The video chips and clock speeds do. Worth to note, one new color is coming. Intel had been planning to enter the GPU market for quite a while. Last year the Blues finally made an announcement and hosted several presentations regarding the future graphics lineup. It is believed, the cards will receive the combination of architectures and offer a "moderate price tag." Nevertheless, it is only performance, which will determine the sufficiency of the newcomers. How do GPU models differ? Lineups are created to allow every customer to find the perfect video card in any budget. Top-tier solutions lack any weaknesses; they are ready for tough loads, whereas cheaper options receive worse chips, less memory, and other limitations. Although, since it could be practical to find a balanced trade-off between price and performance and benefit from that! cheaper != worse We consider consumer GPUs only since Nvidia Quadro or AMD FirePro are inefficient in mining by profit/cost terms Video memory (VRAM) Modern GPUs mostly board enough fast memory for any task; nearly every option out on the market has at least 6Gb of GDDR6. It both allows games to load dozens of smooth high-res textures and store bubbling DAG files in mining. Smaller VRAM size is dangerous in 2020, according to . our statistics Found on several AMD cards, HMB2 simply utilizes a different approach to bandwidth and does not affect hashrate in any way Whether there are Hynix, Samsung, or Micron chips in the VRAM, it says a lot about the GPU. One can overclock a video card, and it is known, Samsung's go the highest among the competition in the memory field. We have already covered the topic in , , and articles. Instructions and examples included. Memory and timings overclocking can grant you up to 10-15% in hashrate! memory tuning and overclocking Claymore arguments ETHlargementPill Automation calls and Nvidia users benefit the most. Overclocking is much more comfortable and user-friendly than AMD, whose users statistically tend to Google for instructions a lot. Video chips GPU cores matter the most, be it Nvidia's CUDA or AMD's Streaming Processors. The more of these the chip has, the more powerful and profitable it is. Do not forget about the core clock speed! Nvidia Turing GPUs comparison Producers put different chips into different models within the lineup. RTX 2080 has with 2944 CUDA cores, the best configuration the chip has. Weaker cards with the same chip receive it with the entire compute units disabled because of the rejection procedure. To bring prices even more down, vendors pack the cards with less memory. For example, RTX 2080 Ti and TITAN RTX share the same but the latter caps at $2500 versus $1200. TU104 TU102 But old AMD cards cant agree with that simple logic. RX580 is the same RX480, but with a little overlock. For some reason, the marketing team decided to confuse the customers and gave the chip a new name. It is always important to look up for additional details on each card to ensure no one tricks you. Recent AMD's comparison Fortunately, current AMD lineups are free of weird marketing decisions. RX 5700 and RX 5700 XT perfectly align with the and model. And what is cool of AMDs, these often carry a feature to flash the GPU BIOS and bring the weaker card's performance to the top level! best-card-with-the-chip rejected-chip Power and cooling GPU designs vary a lot, and it is OK to ignore the most advanced options. There is almost no difference in hashrate between the top and best-for-the-buck editions of the same video card. Go for ASUS, Gigabyte, MSI, or whatever fits in your budget the most. Even the "weakest" heat spreaders and fans run any given card cool. More on that in our video on Youtube: Red-/Green-only algorithms Back in 2015-17, one could find AMD-exclusive or Nvidia-only miners, whereas today, nearly every piece of software supports products of either company. Kryptex packs the most profitable up-to-day algorithms, which are available to both AMD and Nvidia users! Available algorithms in Kryptex Nvidia is open to experiments and " " searches, while AMD was historically the most profitable and stable with the DaggerHashimoto for Ethereum. Nevertheless, Kryptex always automatically switches to the most profitable algorithm to get the most out of your GPU! oh, that sweet coin Some AMD owners say, they've been on Ethereum for years straight So, AMD or Nvidia? None of the producers could be put one above another. Every customer should take "Listen to Your Heart" song's advice and find what fits the best . One should better focus on some models comparison, rather than merely fortune on Reds or Greens. personally But Nvidia folks are lucky in some ways. The universal driver requires no mode changes to switch from gaming to mining and back. And electricity bills are generally cheaper. (While at the same time it is colder inside in winter ❄) TDP comparison It is the card, which selects the user, not vice-versa 👻 The best video card on the market Always go for a model, not the producer! Almost ideal GPU portrait It is best to use prior experience to guide you through the debris. Kryptex's page will show you the most profitable video card by daily income or payback, display the perfect hashrates, and help you with the tuning! We update the list regularly. Best GPUs for mining

What's The Best GPU for Mining Cryptocurrencies in 2020? AMD vs. Nvidia 

AMD has filed at least two DMCA notices against Github repos that carried "stolen" source code relating to AMD's Navi and Arden GPUs, the latter being the processor for the upcoming Xbox Series X. The person claiming responsibility for the leak informs TorrentFreak that if they doesn't get a buyer for the remainder of the code, they will dump the whole lot online. Graphics cards are big business and AMD is one of the leading brands with an estimated 32% share of the discrete desktop market. In July 2019, to celebrate its 50th anniversary, AMD released its Radeon RX 5000 series powered by ‘Navi’ GPUs (Graphics Processing Unit). The source code for these devices is extremely sensitive and considered secret but perhaps not for much longer. This week rumors began to circulate that an unnamed individual had somehow obtained the source for Navi 10, Navi 21 and Arden devices, the latter representing the rumored GPU for the yet-to-be-released Xbox Series X. Confirming whether such leaks are genuine is difficult but yesterday AMD took action which tends to support the theory. In a DMCA notice sent to development platform Github, AMD identified the recently-created ‘xxXsoullessXxx’ repository and a project titled “AMD-navi-GPU-HARDWARE-SOURCE” as the location of its “stolen” intellectual property. “This repository contains intellectual property owned by and stolen from AMD,” the semiconductor company . “The original IP is held privately and was stolen from AMD.” wrote Github responded by immediately taking , as per AMD’s request. That prompted us to try and find the person behind the repo and to ask some questions about what AMD was trying to suppress. The individual informed TorrentFreak that AMD’s GPU source code was the content in question. (Responses edited for clarity) the repository down “In November 2019, I found AMD Navi GPU hardware source codes in a hacked computer,” the person explained. “The user didn’t take any effective action against the leak of the codes.” Questioned further on the route of extraction, we were told that a combination of factors led to the leak. “The source code was unexpectedly achieved from an unprotected computer//server through some exploits. I later found out about the files inside it. They weren’t even protected properly or even encrypted with anything which is just sad.” The individual, who claims to be female, told us that the package included code for Navi 10 and Navi 21 devices. She also confirmed that the source for the Xbox Series X GPU ‘Arden’ was part of the haul. When asked whether the person had spoken to AMD about the leak, the answer was negative. “I haven’t spoken to AMD about it because I am pretty sure that instead of accepting their mistake and moving on, they will try to sue me. So why not just leak it to everyone?” we were told. The alleged leaker further told us that one “source code packet” had already been released. Whether that is limited to the material made available via Github remains unclear but TF was able to find links to a file-hosting site where an archive claiming to be the content was stored. Given the potentially criminal route via which the content was obtained, we did not download the package. That AMD is concerned about the leak was underlined once again late yesterday. Having indicated in its initial complaint to Github that the source couldn’t be found anywhere else, the company later backtracked, identifying at least where the project had been forked. All of those repos have been taken down. four other locations on Github While taking down the repositories is a logical first step for AMD, the gravity of this leak is hard to underestimate. The claimed hacker told TF that she valued the source at $100m but how that calculation was arrived at is unknown. While AMD considers its next steps, an even bigger storm may be heading the company’s way. “If I get no buyer I will just leak everything,” the leaker concluded, adding that the files would be secured with passwords that will only be handed out to select individuals. Statement from AMD Update: At AMD, data security and the protection of our intellectual property are a priority. In December 2019, we were contacted by someone who claimed to have test files related to a subset of our current and future graphics products, some of which were recently posted online, but have since been taken down. While we are aware the perpetrator has additional files that have not been made public, we believe the stolen graphics IP is not core to the competitiveness or security of our graphics products. We are not aware of the perpetrator possessing any other AMD IP. We are working closely with law enforcement officials and other experts as a part of an ongoing criminal investigation. Originally published as “ AMD Uses DMCA to Mitigate Massive GPU Source Code Leak (Updated) ” with the Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0) license

AMD Uses DMCA to Mitigate Massive GPU Source Code Leak (Updated)

With the development of generative artificial intelligence and its practical applications, creating servers for artificial intelligence has become critical for various industries - from automotive manufacturing to medicine, as well as for educational and governmental institutions. Let's consider the most important components that affect the selection of a server for artificial intelligence: the central processing unit (CPU) and graphics processing unit (GPU). Selecting appropriate processors and graphics cards will enable you to set up a high-performance platform and significantly accelerate calculations related to artificial intelligence on a dedicated or virtual (VPS) server. Rent GPU servers with instant deployment or a server with a custom configuration with professional-grade NVIDIA Tesla H100 / H100 80Gb or RTX A5000 / A4000 cards. GPU servers with game RTX4090 cards are also available. How do you choose the right processor for your AI server? The processor is the main "calculator" that receives commands from users and performs "command cycles," which will yield the desired results. Therefore, a big part of what makes an AI server so powerful is its CPU. You might expect a comparison between AMD and Intel processors. Yes, these two industry leaders are at the forefront of processor manufacturing, with the lineup of Intel 5th generation Intel® Xeon® ( and already announced 6th generation) and AMD EPYC™ 8004/9004 representing the pinnacle of x86-based CISC processors. If you are looking for excellent performance combined with a mature and proven ecosystem, selecting top-of-the-line products from these chip manufacturers would be the right choice. If budget is a concern, consider older versions of Intel® Xeon® and AMD EPYC™ processors. Even desktop CPUs from AMD or Nvidia's higher-end models would be a good starting point for working with AI if your workload does not require a large number of cores and multithreading capabilities. In practice, when it comes to language models, the choice of graphics accelerator or the amount of RAM installed in the server will have a greater impact than the choice between CPU types. While some models, such as the 8x7B from Mixtral, can produce results comparable to the computational power of tensor cores found in video cards when run on a CPU, they also require 2-3 times more RAM than a CPU + GPU bundle. For instance, a model that runs on 16 GB of RAM and 24 GB of GPU video memory may require up to 64 GB of RAM when running solely on the CPU. In addition to AMD and Intel, there are other options available. These can be solutions based on ARM architecture, such as NVIDIA Grace™, which combines ARM cores with patented NVIDIA features, or Ampere Altra™. How do you choose the right graphics processing unit (GPU) for your AI server? The GPU plays an increasingly important role in AI server operations today. It serves as an accelerator that helps the CPU process requests to neural networks much faster and more efficiently. The GPU can break down tasks into smaller segments and perform them simultaneously using parallel computing or specialized cores. For example, NVIDIA's tensor cores provide orders of magnitude higher performance in 8-bit floating-point (FP8) calculations with Transformer Engine, Tensor Float 32 (TF32), and FP16, showing excellent results in high-performance computing (HPC). This is particularly noticeable not during inference (the operation of the neural network) but during training, as for example, for models with FP32, this process can take several weeks or even months. To narrow down your search criteria, consider the following questions: Will the nature of your AI server's workload change over time? Most modern GPUs are designed for very specific tasks. The architecture of their chips may be suitable for certain areas of AI development or application, and new hardware and software solutions can render previous generations of GPU obsolete in just a few years (1-2-3).
Will you mainly focus on training AI or inference (usage)? These two processes are the foundation of all modern AI iterations with limited memory budgets. During training, the AI model processes a large amount of data with billions or even trillions of parameters. It adjusts the "weights" of its algorithms until it can consistently generate correct results. In inference mode, the AI relies on the "memory" of its training to respond to new input data in the real world. Both processes require significant computational resources, so GPUs and expansion modules are installed for acceleration. Graphic processing units (GPUs) are designed specifically for training deep learning models with specialized cores and mechanisms that can optimize this process. For example, NVIDIA's H100 with 8 GPU cores provides more than 32 petaflops of performance in FP8 deep learning. Each H100 contains fourth-generation tensor cores using a new type of data called FP8 and a "Transformer Engine" for optimization. Recently, NVIDIA introduced the next generation of their GPUs, the B200, which will be even more powerful. A strong alternative to AMD solutions is the AMD Instinct™ MI300X. Its feature is a large memory capacity and high data bandwidth, which is important for inferencing-based generative AI applications, such as large language models (LLM). AMD claims that their GPUs are 30% more efficient than NVIDIA's solutions but have less mature software. If you need to sacrifice a bit of performance to fit within budget constraints or if your dataset for training the AI is not too large, you can consider other options from AMD and NVIDIA. For inferencing tasks or when continuous operation in 24/7 mode for training is not required, "consumer" solutions based on Nvidia RTX 4090 or RTX 3090 may be suitable. If you are looking for stability in long-term calculations for model training, you can consider NVIDIA's RTX A4000 or A5000 cards. Although the H100 with PCIe bus may offer a more powerful solution with 60-80% performance depending on the tasks, the RTX A5000 is a more accessible option and could be an optimal choice for certain tasks (such as working with models like 8x7B). For more exotic inference solutions, you can consider cards like AMD Alveo™ V70, NVIDIA A2/L4 Tensor Core, and Qualcomm® Cloud AI 100. In the near future, AMD and NVIDIA plan to outperform Intel's GPU Gaudi 3 in the AI training market. Considering all these factors and taking into account software optimization for HPC and AI, we recommend servers with Intel Xeon or AMD Epyc processors and GPUs from NVIDIA. For AI inferencing tasks, you can use GPUs from RTX A4000/A5000 to RTX 3090, while for training and working on multi-modal neural networks, it's advisable to allocate budgets for solutions from RTX 4090 to A100/H100. Rent GPU servers with instant deployment or a server with a custom configuration with professional-grade NVIDIA Tesla H100 / H100 80Gb or RTX A5000 / A4000 cards. GPU servers with game RTX4090 cards are also available. This story was distributed under HackerNoon’s Business Blogging Program. Learn more about the program here. With the development of generative artificial intelligence and its practical applications, creating servers for artificial intelligence has become critical for various industries - from automotive manufacturing to medicine, as well as for educational and governmental institutions. Let's consider the most important components that affect the selection of a server for artificial intelligence: the central processing unit (CPU) and graphics processing unit (GPU). Selecting appropriate processors and graphics cards will enable you to set up a high-performance platform and significantly accelerate calculations related to artificial intelligence on a dedicated or virtual (VPS) server. Rent GPU servers with instant deployment or a server with a custom configuration with professional-grade NVIDIA Tesla H100 / H100 80Gb or RTX A5000 / A4000 cards. GPU servers with game RTX4090 cards are also available. Rent GPU servers with instant deployment or a server with a custom configuration with professional-grade NVIDIA Tesla H100 / H100 80Gb or RTX A5000 / A4000 cards. GPU servers with game RTX4090 cards are also available. Rent GPU servers with instant deployment Rent GPU servers with instant deployment custom configuration custom configuration GPU servers with game RTX4090 cards GPU servers with game RTX4090 cards How do you choose the right processor for your AI server? The processor is the main "calculator" that receives commands from users and performs "command cycles," which will yield the desired results. Therefore, a big part of what makes an AI server so powerful is its CPU. You might expect a comparison between AMD and Intel processors. Yes, these two industry leaders are at the forefront of processor manufacturing, with the lineup of Intel 5th generation Intel® Xeon® ( and already announced 6th generation) and AMD EPYC™ 8004/9004 representing the pinnacle of x86-based CISC processors. If you are looking for excellent performance combined with a mature and proven ecosystem, selecting top-of-the-line products from these chip manufacturers would be the right choice. If budget is a concern, consider older versions of Intel® Xeon® and AMD EPYC™ processors. Even desktop CPUs from AMD or Nvidia's higher-end models would be a good starting point for working with AI if your workload does not require a large number of cores and multithreading capabilities. In practice, when it comes to language models, the choice of graphics accelerator or the amount of RAM installed in the server will have a greater impact than the choice between CPU types. While some models, such as the 8x7B from Mixtral, can produce results comparable to the computational power of tensor cores found in video cards when run on a CPU, they also require 2-3 times more RAM than a CPU + GPU bundle. For instance, a model that runs on 16 GB of RAM and 24 GB of GPU video memory may require up to 64 GB of RAM when running solely on the CPU. In addition to AMD and Intel, there are other options available. These can be solutions based on ARM architecture, such as NVIDIA Grace™, which combines ARM cores with patented NVIDIA features, or Ampere Altra™. How do you choose the right graphics processing unit (GPU) for your AI server? The GPU plays an increasingly important role in AI server operations today. It serves as an accelerator that helps the CPU process requests to neural networks much faster and more efficiently. The GPU can break down tasks into smaller segments and perform them simultaneously using parallel computing or specialized cores. For example, NVIDIA's tensor cores provide orders of magnitude higher performance in 8-bit floating-point (FP8) calculations with Transformer Engine, Tensor Float 32 (TF32), and FP16, showing excellent results in high-performance computing (HPC). This is particularly noticeable not during inference (the operation of the neural network) but during training, as for example, for models with FP32, this process can take several weeks or even months. To narrow down your search criteria, consider the following questions: Will the nature of your AI server's workload change over time? Most modern GPUs are designed for very specific tasks. The architecture of their chips may be suitable for certain areas of AI development or application, and new hardware and software solutions can render previous generations of GPU obsolete in just a few years (1-2-3). Will you mainly focus on training AI or inference (usage)? These two processes are the foundation of all modern AI iterations with limited memory budgets. Will the nature of your AI server's workload change over time? Most modern GPUs are designed for very specific tasks. The architecture of their chips may be suitable for certain areas of AI development or application, and new hardware and software solutions can render previous generations of GPU obsolete in just a few years (1-2-3). Will you mainly focus on training AI or inference (usage)? These two processes are the foundation of all modern AI iterations with limited memory budgets. During training, the AI model processes a large amount of data with billions or even trillions of parameters. It adjusts the "weights" of its algorithms until it can consistently generate correct results. In inference mode, the AI relies on the "memory" of its training to respond to new input data in the real world. Both processes require significant computational resources, so GPUs and expansion modules are installed for acceleration. Graphic processing units (GPUs) are designed specifically for training deep learning models with specialized cores and mechanisms that can optimize this process. For example, NVIDIA's H100 with 8 GPU cores provides more than 32 petaflops of performance in FP8 deep learning. Each H100 contains fourth-generation tensor cores using a new type of data called FP8 and a "Transformer Engine" for optimization. Recently, NVIDIA introduced the next generation of their GPUs, the B200, which will be even more powerful. A strong alternative to AMD solutions is the AMD Instinct™ MI300X. Its feature is a large memory capacity and high data bandwidth, which is important for inferencing-based generative AI applications, such as large language models (LLM). AMD claims that their GPUs are 30% more efficient than NVIDIA's solutions but have less mature software. If you need to sacrifice a bit of performance to fit within budget constraints or if your dataset for training the AI is not too large, you can consider other options from AMD and NVIDIA. For inferencing tasks or when continuous operation in 24/7 mode for training is not required, "consumer" solutions based on Nvidia RTX 4090 or RTX 3090 may be suitable. If you are looking for stability in long-term calculations for model training, you can consider NVIDIA's RTX A4000 or A5000 cards. Although the H100 with PCIe bus may offer a more powerful solution with 60-80% performance depending on the tasks, the RTX A5000 is a more accessible option and could be an optimal choice for certain tasks (such as working with models like 8x7B). For more exotic inference solutions, you can consider cards like AMD Alveo™ V70, NVIDIA A2/L4 Tensor Core, and Qualcomm® Cloud AI 100. In the near future, AMD and NVIDIA plan to outperform Intel's GPU Gaudi 3 in the AI training market. Considering all these factors and taking into account software optimization for HPC and AI, we recommend servers with Intel Xeon or AMD Epyc processors and GPUs from NVIDIA. For AI inferencing tasks, you can use GPUs from RTX A4000/A5000 to RTX 3090, while for training and working on multi-modal neural networks, it's advisable to allocate budgets for solutions from RTX 4090 to A100/H100. Rent GPU servers with instant deployment or a server with a custom configuration with professional-grade NVIDIA Tesla H100 / H100 80Gb or RTX A5000 / A4000 cards. GPU servers with game RTX4090 cards are also available. Rent GPU servers with instant deployment or a server with a custom configuration with professional-grade NVIDIA Tesla H100 / H100 80Gb or RTX A5000 / A4000 cards. GPU servers with game RTX4090 cards are also available. Rent GPU servers with instant deployment Rent GPU servers with instant deployment custom configuration custom configuration GPU servers with game RTX4090 cards GPU servers with game RTX4090 cards This story was distributed under HackerNoon’s Business Blogging Program. Learn more about the program here. This story was distributed under HackerNoon’s Business Blogging Program. Learn more about the program here . here here

How Do You Choose the Best Server, CPU, and GPU for Your AI?

কিভাবে আপনি আপনার AI এর জন্য সেরা সার্ভার, CPU এবং GPU চয়ন করবেন?

Wie wählen Sie den besten Server, die beste CPU und die beste GPU für Ihre KI aus?

¿Cómo se elige el mejor servidor, CPU y GPU para su IA?

Comment choisir le meilleur serveur, CPU et GPU pour votre IA ?

आप अपने AI के लिए सर्वोत्तम सर्वर, CPU और GPU का चयन कैसे करते हैं?

AI に最適なサーバー、CPU、GPU をどのように選択すればよいでしょうか?

AI에 가장 적합한 서버, CPU 및 GPU를 어떻게 선택합니까?

Como você escolhe o melhor servidor, CPU e GPU para sua IA?

Как выбрать лучший сервер, процессор и графический процессор для вашего ИИ?

Yapay Zekanız için En İyi Sunucuyu, CPU'yu ve GPU'yu Nasıl Seçersiniz?

Làm cách nào để bạn chọn Máy chủ, CPU và GPU tốt nhất cho AI của mình?

如何为您的 AI 选择最佳的服务器、CPU 和 GPU？

TLDR: Ergo (ERG), launched in 2019, uses the unique Autolykos Proof of Work (PoW) consensus protocol to be ASIC-resistant. The article outlines the process of setting up Ergo mining, which involves selecting a suitable GPU, building a mining rig, creating an Ergo wallet, joining a mining pool, and choosing mining software. It also provides an overview of the Ergo tokenomics, network stats, and details on the factors that affect mining rewards. Factors that affect Ergo mining rewards include initial setup costs, electricity costs, ERG price volatility, software and hardware configuration, and hardware maintenance and repair costs. Based on a hypothetical scenario, Ergo mining is profitable if electricity costs are below $0.08/kWh. Even then, there may be doubts if it’s worthwhile. Therefore aspiring crypto miners are urged to thoroughly consider all factors before proceeding. Introduction to Ergo Mining This article briefly introduces you to the Ergo (ERG) cryptocurrency. Next, the article will guide you through the Ergo coin mining process. The article assumes you know the of cryptocurrencies, , and how crypto mining works. basics blockchains Ergo(ERG) is a cryptocurrency launched in 2019, with no ICO, pre-mined tokens, or pre-allocated tokens to team members and VCs. According to Ergo’s , every ERG token is protected by the Sigma cryptographic protocol and uses a scripting language called ErgoScript. Using ErgoScript enables users to create smart contracts on the Ergo blockchain. whitepaper Ergo uses its own unique Autolykos Proof of Work (PoW) consensus protocol to verify transactions on its blockchain. Moreover, the protocol ensures Autolykos ASIC miner resistance. Autolykos ASIC miner resistance is important because huge miners dominate blockchain networks like Bitcoin. These miners have access to expensive ASIC mining machines, making mining unviable for the average person. Therefore, making the Ergo blockchain ASIC-resistant with the Autolykos mining protocol is important to make mining more affordable. A Brief Overview of Ergo Tokenomics and Network Stats Before embarking on a cryptocurrency mining journey, you must understand its . As of the time of writing, the circulating supply of ERG tokens is around 71.15 million tokens and has a market cap of around $90.5 million. tokenomics Next, the network currently handles about 5994 transactions daily and takes 120 seconds on average to add a new block of transactions. Moreover, each ERG block successfully mined rewards with a min payout of 39 ERG tokens. Finally, the blockchain possesses computational power or a hashrate of 19.39 TH/s. How to Mine the Ergo Crypto When learning how to mine Ergo, we start by building a GPU mining rig and setting up an Ergo wallet. Next, we configure the hardware and software for the Ergo mining rig. Finally, we connect the Ergo miners to a mining pool. Choose a GPU As Ergo is ASIC-resistant, you must use a graphics card’s GPU to mine Ergo. Suitable GPUs must have a memory of more than 3GB. Popular graphics cards for mining Ergo include: Nvidia GTX 1060 GTX 1660 Ti RTX 3060 RTX 3060 Ti RTX 3070 RTX 3070 Ti RTX 3080 Ti RTX 3090 AMD RX 470 RX 580 Radeon 5700 XT RX 6600 XT RX 6800 RX 6800 XT While buying the cheapest GPU is tempting, you must consider the GPU’s cost versus its mining capabilities. The cheapest GPU may not be powerful enough to generate adequate mining rewards. However, the most expensive GPU may not be worth it for the rewards generated. LHR and GPU Mining Due to graphic card shortages, Nvidia GPUs are artificially limited in their crypto-mining capabilities. Hence, Light HashRate (LHR), was introduced in the latest Nvidia drivers to impose this limitation on Nvidia GPUs. The degree of LHR impact depends on the type of GPU memory and its manufacturer. When choosing a GPU, t have shown that Nvidia GPUs with GDDR6 Hynix memory are the most affected by LHR. Therefore, keep this in mind when choosing a suitable Ergo mining GPU. ests Building the Best Ergo Miner After choosing your GPUs, you must (basically a PC) to house the GPUs for crypto mining. build a mining rig Install Windows or Linux as the mining rig’s operating system. Once your mining rig is complete, give it a name, known as a , and Rig ID note it down. Create an Ergo Wallet You need an Ergo wallet to receive your mining rewards. However, some use , like Ergo mining Binance addresses, to cash out quickly and regularly. centralized exchange addresses If you want to hold ERG longer, it’s highly recommended that you use , such as the official Ergo wallet app. Once you have your , Ergo wallets wallet address note it down for later use. If you’re considering using a hardware wallet instead, you must note that hardware wallets have when used for mining purposes. issues Joining a Mining Pool Next, you want to join a mining pool. Although solo mining allows you to keep all block rewards, you might go for weeks or months without finding a block to successfully mine. Joining a mining pool allows you to pool your computing resources with other miners to increase everyone’s chances of getting block rewards. Mining pool block rewards will be distributed across the mining pool, and everyone will receive a smaller reward. However, rewards are more likely to be received in a mining pool. Therefore, the average crypto miner benefits by joining a mining pool as they earn smaller mining rewards more frequently. Popular Ergo coin include: mining pools Ergo pool 2miners Herominers Nanopool F2pool To join a mining pool, visit the mining pool’s website and the For example, if we want to use 2miner‘s Ergo USA server, we would note down the address: note down mining pool’s server address. us-erg.2miners.com:8888 Some mining pools require registering a free account. Therefore, check each mining pool’s website and follow their instructions. Choosing Your Mining Software The mining rig requires mining software to begin mining Ergo coins. Installing the best mining software depends on the type of GPU and operating system used in your mining rig. The top mining software for Ergo miners are: NBminer Team Red Miner SRB Miner (Has an LHR unlocker to mitigate some LHR impact) T-Rex Miner lolMiner NBminer is one of the popular Ergo mining software and reviews have shown that it’s good for Nvidia GPUs, while SRB Miner is good for AMD GPUs. Mining Software Configuration Guide First, download your chosen mining software archive and extract it. You may have to whitelist the software in your antivirus program, as the antivirus may flag the mining software as a malicious threat. After extracting, find a configuration file, usually a file or a file. Open the configuration file in a text editor like Notepad. .bat .cmd Recall your: Rig ID Ergo wallet address Mining pool’s server address. Copy and paste the three pieces of information into your mining software configuration file. Below is an example of how NBminer’s .bat configuration file looks like. nbminer.exe -a ergo -o stratum+tcp://erg.2miners.com:8888 -u YOUR_WALLET_ADDRESS.RIG_ID
pause In the example above, the is added before “-u.” The is after the “-u.” Finally, the is added behind the Ergo wallet address after a period. mining pool’s server address Ergo wallet address Rig ID Once you’re done, save the configuration file changes in Notepad. Take note that other mining software’s configuration files are not 100% similar but should follow a similar pattern. Operating System Tweaks If you’re using a Windows operating system, you must navigate to the Windows Power Settings in Control Panel and set it to Never Sleep. Next, turn off Windows Update in Control Panel. This is to ensure your miner is not interrupted while mining. Finally, ensure Window’s Virtual Memory, or pagefile, is set to at least 16 GB. Now you’re ready to run the mining software. Earn Ergo rewards by starting to mine today! How do I Check My Rewards? After 24 hours, you can check if your mining setup works by checking your wallet address in the . There, you can view transactions of mining rewards or the number of coins coming in. Ergo coin block explorer Moreover, your Ergo mining pool account dashboard provides a summary report for average mining rewards and hashrates. Factors Affecting Mining Rewards Finally, we arrived at the fun part. Most miners want to make a profit, so knowing how to estimate mining Ergo profit, is very important. Here are factors that affect your crypto mining profits. Initial Setup Costs The more initial outlay, the longer it takes to break even from mining. Apart from GPU costs, the remaining mining rig parts and the mining environment setup will also incur upfront costs. As crypto mining rigs produce a lot of heat and noise, crypto miners have to spend money to provide good cooling, ventilation, and soundproofing for their mining rigs. Electricity Costs The next factor is a huge one. Electricity costs are the number one factor that eats into profitability. Crypto mining in locations with high energy costs results in unprofitability. Furthermore, natural disasters or geopolitical conflicts could see energy costs soaring. We could see this happening in Europe during the start of the Ukrainian conflict. Some miners cut their electricity costs by accessing cheap renewable energy. For example, from oil production to power crypto mining cheaply is possible. using waste natural gas Apart from accessing cheap renewable energy, cryptocurrency miners often flock to locations with low energy costs. Countries with low average and decent infrastructure for crypto mining include: energy costs China at $0.08/kWh Malaysia at $0.047/kWh Qatar at $0.032/kWh Argentina at $0.034/kWh Ergo Coin Price Volatility As an asset class, cryptocurrencies are known to be volatile and high-risk. Ergo coin price is no exception to this. If Ergo’s price drops too low, mining could be unprofitable after factoring in running costs. Software and Hardware Configuration The computing power of GPUs largely determines how the number of coins you receive. You can configure a GPU to increase its computing power through a process known as “overclocking.” However, overclocking may risk potential system instabilities. Moreover, it produces additional heat, which reduces hardware reliability and lifespan. Additionally, overclocking increases electricity consumption. If the overclocking manages to be stable, you can maximize your GPU’s mining reward potential. Miners can also squeeze more profits through a hardware configuration called ”undervolting.” Undervolting makes a mining rig work with less electric power. Undervolting aims to boost mining reward efficiency by reducing electricity costs and decreasing heat generation. However, undervolting could risk introducing potential system instabilities and risk hardware damage. Finally, the type of mining software used on your hardware configuration could also mean the difference between more or less mining rewards. For example, mining software like NBminer works better on an Nvidia card than SRBminer. Hardware Maintenance Crypto mining rigs generate lots of heat and work for long periods of time under full loads. Therefore, any hardware maintenance and repairs will eat into mining profits. Is it worth it?: A Hypothetical Mining Scenario Before you start mining Ergo, you should use an online Ergo mining calculator, like the , to help you estimate your crypto-mining rewards. Whattomine Ergo mining calculator With entered hashrate, you can estimate mining rewards and profitability. Furthermore, this estimation can be more accurate by entering electric costs, current crypto prices, blockchain mining difficulty, and GPU specs. In a hypothetical Ergo mining scenario, we assume the to be $0.23/kWh. We also assume we have an AMD 5700 XT Ergo mining rig. average United States electricity cost In this scenario, we estimate “earning” negative $0.64 every 24 hours. This is due to the high electricity costs in the United States and the current prices of Ergo. However, by bringing down electricity costs to $0.08/kWh, you can break even. Therefore, assuming all other factors are constant, Ergo mining is only profitable if electricity costs are below $0.08/kWh Conclusion In conclusion, Ergo mining is an intriguing and educational venture for cryptocurrency enthusiasts. The Sigma cryptographic protocol protects the ERG token and relies on a unique Autolykos PoW consensus protocol, making the Ergo blockchain ASIC-resistant. Initial set-up costs and high electricity costs may challenge profitability. Additionally, the choice of mining hardware, mining pool choice, and hardware and software configurations all contribute to the efficiency of earning Ergo mining rewards. It’s worth noting that Ergo mining involves risks such as Ergo coin price volatility, volatile energy costs, and hardware or software failure. Ultimately, besides educational purposes, Ergo mining’s worth is doubtful, as it’s only profitable with electricity costs below $0.08/kWh. FAQ Is Ergo crypto mining ASIC resistant? Yes. The Autolykos protocol Ergo uses makes it ASIC-resistant, allowing you to use consumer GPUs for mining. Is Ergo mining affected by LHR? Yes, LHR affects Ergo mining. Mining with Nvidia GPUs using GDDR6 Hynix memory is the most impacted by LHR. The T-Rex mining software has an LHR unlocker to mitigate some LHR impact. However, the software only unlocks up to 80% of the hashrate on GDDR6 Hynix memory GPUs. Does an RTX 3060 Ti LHR affect mining Ergo and Ravencoin? LHR affects Ergo and Ravencoin mining. If the RTX 3060 Ti uses GDDR6 Hynix memory, the LHR impact is higher than non-GDDR6 Hynix memory GPUs. Can you use an Ergo mining CPU rig? Using a CPU to mine Ergo is possible but not recommended. When comparing hashrates and power consumption, a CPU is less efficient than a GPU to mine Ergo. You can mine Ergo with your CPU using mining software such as . SRBminer Can you use a GPU to mine Ergo? Yes. You must use mining software such as to use your GPU as an Ergo miner. NBminer What GPU specifications are needed for Ergo mining? Suitable Ergo mining GPUs must have memory exceeding 3GB. Ideally, if it's an Nvidia GPU, ensure that it doesn't have GDDR6 Hynix memory to reduce LHR’s impact. Is there an Ergo ASIC Miner? No. As Ergo uses the Autolykos ASIC miner resistant protocol, there are no Ergominer ASIC machines.

Is Ergo Mining Worth it? Uncovering Ergo's Mining Process

If you ever needed more proof that the world's richest man is no visionary, look no further than the events of last week. Having finally acquired , Elon Musk crowned himself the CEO of yet another company he personally did not build and followed it up with what can best be surmised as a.. bloodbath. 😞 Twitter Twitter laid off 3,700 people, or half of its workforce, on Friday — letting go of employees in considered important in maintaining advertisers' trust (content moderation) while those that remained were to roll out new features on the platform. As former employees started flooding LinkedIn to say goodbyes and begin searching for new opportunities, Twitter asked because they were either fired mistakenly or were needed to build Musk's vision for the social media giant. teams working round-the-clock some of them to return back to work Musk wants to make Twitter profitable but has yet to detail how he plans on doing so. Meetings with advertisers haven't gone as planned as tons of companies have to determine what to make of Twitter's new owner and over content moderation. paused ad spending air concerns In the interim, Musk wants to generate revenue by selling the verified blue check mark for , making it easier for users to appear more authentic while complicating Musk's own efforts to transform Twitter into a . $7.99 a month sharing disinformation source of accurate information As a side note, Musk seems to be taking a page straight out of Donald Trump's playbook, garnering free media attention for being so bizarrely eccentric that outlets have no choice but to spam our feeds with one news story related to Twitter after the next. Is there a term for Musk fatigue? Because we're surely feeling it. Twitter was trending #32 in this week's . Tech Company Rankings ⛈️ Layoffs Come to Silicon Valley Twitter wasn't the only tech company letting go of people this past week. Digital payment firm and ride-hailing company announced similar measures, though their rationale was more grounded in the state of the global economy than the whims of a billionaire who just purchased their company. Stripe Lyft Stripe it would be letting go of around 1,000 people, or 14% of its workforce, in a move meant to help the company course correct after it reached new heights during the COVID-19 pandemic. Essentially, the company overhired in response to tripling its revenue and payment volume over the course of 2020 and 2021, perhaps hoping that this growth would continue. However, the winds are now blowing in the opposite direction, with "stubborn inflation, energy shocks, [and] reduced investment budgets" prompting CEO Patrick Collison to trim the fat around corners in an attempt to save costs. said Lyft too is looking to become leaner given "several challenges playing out across the economy." In a to employees, the company's management blamed a looming recession and the "realities of inflation and a slowing economy" for its decision to cut 683 jobs, or 13% of its workforce, while selling its first-party vehicle service business. letter If that wasn't enough, told employees last week that it would no longer be hiring more people in its corporate workforce, the same macroeconomic reasons as Stripe and Lyft. Amazon citing Amazon ranked #11 in this week's Tech Company Rankings. 🖥️ AMD Brings Out Spanking New GPUs The are heating up now that has announced the 7 series XT and XTX graphic cards. By being cheaper and performing as well as their green counterparts, preliminary response to the GPUs have been overwhelmingly positive, even though tech reviewers are yet to benchmark the cards. GPU wars AMD Still, that didn't stop Linus Tech Tips from extrapolating the cards' performance, that the beefier of the two newly announced AMD cards (the 7900XTX) performed just as well as 's 4090 at $600 less. It's not just about the performance though: the AMD card is smaller, consumes less power, and is to be a fire hazard. concluding Nvidia less likely It's been less than a decade since Lisa Su took over the reins at AMD, and already the company has the monopolies of titans and Nvidia. It was only in 2017 that AMD announced the Ryzen line of processors, only to follow it up with one impressive product launch after the next and capture more and more market share in both the consumer and commercial markets. disrupted Intel Nvidia ranked #44 in this week's Tech Company Rankings. In Other News.. Ajit Mohan parent 's India operations to join rival Snap. 📸 left Facebook Meta is said to have nearly $8 billion in cryptocurrency transactions from Iran despite U.S. sanctions on the country. 🪙 Binance processed Twitter alternative Mastodon is seeing more and more users its platform. 🐮 join And that’s a wrap! Thanks for reading Tech Company News Brief Issue #23! See y’all next week. PEACE ☮️ — Sheharyar Khan, Editor, Business Tech @ HackerNoon

Musk Is No Visionary: Half of Twitter Workforce Laid Off

Musk no es un visionario: la mitad de la fuerza laboral de Twitter fue despedida

Musk n'est pas un visionnaire : la moitié de la main-d'œuvre de Twitter licenciée

मस्क इज़ नो विजनरी: आधे ट्विटर वर्कफोर्स की छंटनी की गई

Musk はビジョナリーではない: Twitter 従業員の半数が解雇される

Musk não é visionário: metade da força de trabalho do Twitter é demitida

Musk không có tầm nhìn xa: Một nửa lực lượng lao động trên Twitter đã sa thải

马斯克没有远见：推特一半员工下岗

👋 Welcome to HackerNoon's Tech Company News Brief, a weekly collection of tech goodness that combines HackerNoon's proprietary data with internet trends to determine which companies are rising and falling in the public consciousness. Tell your friends and family to subscribe . here Imagine having to sign up for a new phone app using only to find that your login information has been stolen. Apparently, that's what happened to ~ whose login information may have been compromised via . Facebook 1 million Facebook users malicious apps While they might look and feel authentic, at least at first glance, Facebook a number of red flags that users may have ignored or been unaware of. The social media giant has notified affectees and also shared details of the 400 malicious apps that were stealing users' information to Apple Inc. and Google parent Alphabet Inc. so they're removed from their app stores. listed Outside of the security breach, the internet was busy discussing Facebook's lofty attempts at bringing the metaverse to the masses. The company's metaverse app Horizon Worlds is so bad that even Facebook's own employees don’t like it, reports. What's worse is that the exec in charge of building and growing Horizon Worlds is forcing employees to plug into the app and " " with it. The Verge fall in love It's still to tell what the metaverse will evolve into, and as this correctly points out, explaining the metaverse through the lens of Horizon Worlds would be like describing the internet from the lens of AOL chatrooms (for the non-Boomers, AOL was an instant messenger that was eventually replaced by social media). Still, the reporter's overall impression of Horizon Worlds was positive (far more than Facebook's own employees) even though she met a than she had anticipated. far too early New York Times reporter lot more children Facebook founder Mark Zuckerberg is already betting his all on the potential of the metaverse, and with the event right around the corner, we'll get to hear more about the future of the industry from the CEO himself. Connect Facebook was trending at the top of this week's . 👑 Tech Rankings 💵 Powerful Chip Lineup Not Enough to Save AMD Revenues 's newly-released Ryzen 7000 chips may have the over 's 12th generation processors, but the celebration was short lived. The Santa Clara-based company informed markets this past Thursday that it may have been a bit too optimistic about its sales forecast, issuing a around the tune of $1 billion. AMD lead on performance Intel course correction With the COVID-19 pandemic virtually over and people no longer confined to their homes, businesses are reporting earnings the way they should have been before the coronavirus forced the entire world to a standstill. AMD and its peers, and Intel, benefited greatly from the lockdown when consumers for gaming or work, resulting in for the tech companies. Now, consumers to splurge, of that could last a while. Nvidia bought or upgraded their machines massive sales aren't that inclined raising fears a tech downturn Nvidia was trending #57 this week while Intel was trending at the #64 spot. 👨‍⚖️ Roblox Gets Flak too from COVID-19-related lockdowns but was in the news this week for a wholly different reason. A lawsuit filed in San Francisco the youth-centered gaming platform of enabling the sexual and financial exploitation of an underage girl by adult men, causing the victim to . Roblox benefitted greatly accuses attempt suicide Now, if for any length of time, you know that its platform attracts who try to groom a young audience. So the lawsuit itself is not surprising; however, it does go a step further by also holding Discord, Snapchat, and Meta responsible for enabling the exploitation and the overall decline in the victim's mental health. you've followed Roblox all manners of pedophiles Roblox ranked #2 this week. F*ck pedos. ⛅ At least One Tech Behemoth Gets It (Maybe) is taking climate change seriously. At least, enough to announce a €1 billion plan to upgrade its truck fleet in Europe over the next five years, Reuters . Amazon reports The investment will see the world's largest eCommerce business more than triple its electric van fleet in Europe to 10,000 vehicles while investing in thousands of charger stations at facilities across Europe. It will also invest in doubling its European network of "micro-mobility" hubs from more than 20 cities today, Reuters reported. Amazon ranked #3 this week. ☮️ And that’s a wrap! Thanks for reading Tech Company News Brief Issue #20! See y’all next week. PEACE — Sheharyar Khan, Editor, Business Tech @ HackerNoon

Roblox in Trouble

Roblox en problemas

Roblox en difficulté

मुसीबत में Roblox

困っているロブロックス

Roblox em apuros

Roblox gặp rắc rối

麻烦中的 Roblox

As if the weren't bad enough, now PC gamers have to get into the same dilemma: go for team red or team blue. Yes, ICYMI, finally released the Ryzen 7000 series chips last week in a bid to win back performance nerds over to its side, prompting at least one hardcore fanboy editor here at HackerNoon to switch sides (you know who you are!). console wars AMD Intel Performance-wise, reviews of AMD's Ryzen 7000 series have been but as points out, this is . While Intel's 12th gen processors are understood to have than AMD's Ryzen 5000 series, AMD's spanking new 7000 series chips are beating the competition (not counting gaming performance, since that's been.. meh). Still, Intel is expected to more details about its 13th gen Raptor Lake processors soon, and if they're truly as the company says they are, the Intel vs. AMD rivalry will usher into a new age. largely positive The Verge only the beginning performed better announce as good With so much happening, Intel ranked on the #72 spot. AMD is yet to chart the rankings, but we'll keep you posted when it does. That said, continues to remain at the top of the tech company rankings for.. we don't even remember how many weeks anymore. Facebook co-founder and future metaverse god (lol?) Mark Zuckerberg told employees last week that Facebook-parent Meta Platforms will put the brakes on hiring and of some people, joining the likes of who are also taking similar action in light of prevailing macroeconomic conditions. Facebook let go other tech giants Notably, this would be the first time Meta would be reducing its headcount. Surely, Zuck feels a bit of remorse for the difficult decision ahead? Right? Right!? Absolutely not. Just days after the layoffs story broke, Zuckerberg was spotted in Las Vegas with his entourage to UFC Fight Night 211 card at the UFC Apex 🥊. Clearly not willing to rub shoulders with the rest of the world, Zuckerberg is said to have received a of the matches with no media allowed (his wife , though). attend private viewing wasn't having any of it Just goes to show how unrelatable Zuckerberg is with the average person on the planet. 🎮 Google Swipes Left on Stadia on Stadia this past week after noting that the cloud gaming service hadn't gained the traction it was hoping it would. By now, the pattern is pretty clear: things just aren't looking too good economically speaking, so companies are doing what they can to offload businesses and services that just aren't core to their bottomline. Google pulled the switch According to , game devs and Stadia employees alike were by the . However, a quick glance of the shows that the company is notorious for discontinuing services either because of obsolescence, integration into other Google products, or lack of interest. As notes: "Google’s track record, and Stadia’s own past, call into question whether it was ever properly committed to the ambitious endeavor." Kotaku blindsided announcement Google Graveyard Kotaku Oh well. Google was trending #5 this week. 💲 Upwork and the Tale of the $1 Popular freelance website attracted the ire of one HackerNoon contributor who this past week on the company's $1 'conversion fee.' In essence, the company silently updated its terms of service, requiring users to pay a token $1 fee if a freelancer wants to take their relationship with an employer outside of the Upwork platform. Upwork ran an expose A writer who goes by posits that Upwork is doing this to find out exactly is leaving the company's platform so they can prevent other users from doing so. Is that what it means to kill ? Upwork didn't say. Ghost of HackerNoon who the old ways of working ⛅ Staying in Florida? Just Forget the Refunds Guests displaced in Florida in wake of Hurricane Ian were in for a rude awakening last week, relying on the of their hosts for refunds if they had booked lodgings using . generosity AirBnB AirBnB, which saw a whopping 7,100% increase in trending interest to land on the #3 spot, refused refunds on short-term rentals because its cancellation policy specifically excludes Florida’s storm season. Yikes! And that's a wrap! Thanks for reading Tech Company Brief Issue #18! If you'd like to see which tech companies are rising and falling in the public consciousness, feel free to head down . See y'all next week. here PEACE! ☮️

Team Red vs. Team Blue

Equipo rojo contra equipo azul

Équipe Rouge contre Équipe Bleue

टीम रेड बनाम टीम ब्लू

チームレッド対チームブルー

Time Vermelho vs. Time Azul

Đội Đỏ so với Đội Xanh lam

红队与蓝队

A good GPU not only provides a , it effectively takes some load off from the CPU and increases the overall performance of 3D applications and software you use. Another sector strong GPUs are flourishing in is the crypto mining sphere. GPUs have now started being used for mining due to their efficiency over CPUs. richer gaming experience In this article, we’ll take a detailed look at the top 5 GPUs you should consider buying due to their crypto-mining capabilities. GPUs for Crypto Mining: Nvidia GeForce RTX 3080 AMD Radeon RX 6800 XT Nvidia GeForce RTX 3090 Nvidia CMP 40HX AMD Radeon RX 5700 XT After introducing each GPU, we will explain: Which GPU is best for crypto mining Which GPU is best for gaming 1. Nvidia GeForce RTX 3080 Starting at just $699, Nvidia’s GeForce RTX 3080 contains the new and improved . Crafted with 54 billion transistors, the Ampere architecture is a technology that accelerates AI adoption. The architecture also brings upgraded tensor cores for Deep Learning Super Sampling (DLSS), tapping into groundbreaking AI to boost frame rates while generating excellent, crisp game images. Ampere architecture By extending the power of tensor cores, Ampere architecture allows you plenty of room to crank up your gaming resolutions to the max for a stunning visual experience. The RTX 3080 brings 10GB of GDDR6X graphics RAM, 320-bit memory interface width, memory speed of 19,000 MHz and a maximum digital resolution of 7680x4320, allowing it to provide a splendid gaming experience while delivering a highly improved performance in comparison to its predecessor, the RTX 2080. Image: Nvidia Furthermore, Nvidia GeForce RTX 3080 features , simulating the physical behavior of light to bring real-time and cinematic-quality rendering to even the most visually intense games. The best thing about the ray tracing feature in this card is that due to DLSS technology’s video rendering techniques, it doesn’t sacrifice the frame rate while maintaining amazing video quality. It also introduces a new thermal-optimized design that promises 55% airflow, 30% more efficiency and the ability to be up to three times quieter during heated gaming sessions. ray tracing Although the RTX 3080 has limited potential for crypto mining, it is still one of the fastest GPUs for Ethereum mining, giving a baseline FE measurement of 85 MH/s. The performance can be further tuned to get around 93 MH/s, but it has to be noted that the processor can limit its mining performance unless modded with better thermal pads that lower memory temperatures. 2. AMD Radeon RX 6800 XT The AMD Radeon RX 6800 XT is AMD’s comeback to the high-end GPU market. Powered by Navi 21 graphics processor, it sports Red Team’s RDNA 2 graphics architecture based on a 7nm manufacturing process, allowing it to bring very powerful performance to the table. Image: AMD The card contains capability, guaranteeing support for ray tracing and variable-rate shading. With the Radeon RX 6800 XT, AMD has paired 16GB GDDR6 memory with a 256-bit memory interface, leading to smooth and high-quality gaming visuals at both 1080p and 4K. At $649, this kind of high video quality is truly astounding. DirectX 12 Ultimate Radeon’s image sharpening technique allows the RX 6800 XT to employ a contrast-adaptive sharpening algorithm that enhances in-game visual clarity and brings out clear details without impacting the overall game performance. The high-powered GPU also contains what Radeon refers to as the ‘ ’, a massive bandwidth amplifier that allows the cache to be seen by the entire graphics core, allowing for faster rendering during gameplay while reducing the power consumption. Infinity Cache Additionally, the RX 6800 XT comes with a memory speed of 16,000 MHz and a Boost Clock of 2250 MHz. These clocks let gamers enjoy a seamless gaming experience at high FPS levels for the majority of games. Like other top AMD graphic cards, the RX 6800 XT can be used to mine cryptocurrencies like Etherium, Beam, Expanse and Ubique, all at an amazing hash rate of 65 MH/s, with a power consumption of 135 watts. You can find its detailed mining hash rate details . here 3. Nvidia GeForce RTX 3090 The GeForce RTX 3090 claims to provide ‘the ultimate gaming experience.’ At a whopping $1500, you should fully expect it to. The ferocious GPU is stuffed with the same Ampere GA102 graphics processor as the GeForce RTX 3080, but it has more of everything - it contains 328 tensor cores, 82 ray tracing acceleration cores and 10,496 Compute Unified Device Architecture (CUDA) cores. These upgraded cores help with playing ray-traced games at 1440p and 4K resolution with utmost ease. The RTX 3090’s mammoth 24GB of GDDR6X memory capacity exceeds the , which, combined with its memory speed of 19,500 MHz, allows for a blistering gaming experience like no other. typically recommended 16GB At the time of its release, the RTX 3090 was the world’s first graphics card that enables you to play and watch games at , although other GPUs have followed suit since. At this level of gameplay, the detail is so crisp and clear that you’ll be able to easily discern individual blades of grass. Additionally, distant game elements such as avatars' skin wrinkles are instantly recognizable. It also contains , a bouquet of technologies designed to analyze and reduce input lag and system latency for a phenomenal gaming experience. 8K HDR Nvidia Reflex The high memory of RTX 3090, combined with the 10,496 CUDA cores and an astounding hash rate of 121 MH/s also makes it a top option for crypto mining - you might easily make it to three digits each month, depending on your power consumption. Image: Nvidia 4. Nvidia CMP 40HX CMP 40HX by Nvidia is a professional crypto mining focused graphic card. Based on architecture, Nvidia’s CMP 40HX comes equipped with the TU106 graphics processor, 2304 shading units and 256-bit bus width. The Turing architecture allows the card to function effectively with its 12 nm chipset. Turing With an introductory price of $699, the classy GPU features 8GB of GDDR6 VRAM and operates at a frequency of 1470 MHz, with a memory speed of 14 Gbps. Additionally, it features 144 texture mapping units and 64 render output units (ROPs). The card also contains DirectX Ultimate capability, leading to incredible graphics performance through variable rate shading for gaming. The CMP 30HX is optimized for Etherium crypto-mining performance. The card allows a fully open, airflow-optimized bracket and is configured to allow high mining efficiency. Its extremely durable ball bearings can withstand years of intense use, and remain virtually silent while spinning under load. The powerhouse is rated at 185 watts and adheres to a 36 MH/s hash rate. However, ASUS’s internal testing performance of eight CMP 40HX prototypes was revealed through an image by , and the cards were each pumping out over 43 MH/s, leading to even greater promise over the crypto mining performance of the CMP 40HX. VideoCardz 5. AMD Radeon RX 5700 XT The AMD Radeon RX 5700 XT is a high-end GPU built on the 7nm process and based on Navi 10 graphics processor. At just $450, it provides amazing value for money as well. AMD has paired the card with 8GB GDDR6 memory connected using a 256-bit interface, with a memory speed of 14 Gbps. The RX 5700 XT’s RDNA architecture allows incredible visual effects combined with reduced latency levels to make for a very responsive gaming experience. Its Displayport 1.4 data and audio connection supports up to 8K resolution at 60 Hz or 5K at 120 Hz, allowing a truly immersive experience. Image: AMD When it comes to crypto mining, the RX 5700 XT is right up there among the best. It has an average mining hash rate of , which is truly astounding for its price range. It is a great option for mining a variety of cryptocurrencies such as Ethereum, Monero and Ravencoin, among others. 54 MH/s The beast is equipped with a cooling system with an aluminum radiator, copper tubes and dispersion blades, designed specifically to increase airflow efficiency. This system allows it to maintain its performance consistency to a great extent during mining, withstanding high amounts of heat. Which GPU to buy in 2021? Since we have discussed all GPUs with regard to gaming as well as mining capabilities, we’ll divide this section into two parts, looking at both these factors. Which GPU should you buy for crypto mining? All the aforementioned GPUs contain strong mining capabilities in general. However, when they are pitted against each other, some major differences come to the fore. Although Nividia’s CMP 40HX is designed specifically for mining and has its strong points, it’s ultimately a low-end mining option by Nvidia, especially keeping in mind that the 50HX and upcoming 90HX blow it away in almost all aspects. The Nvidia RTX 3080, Radeon RX 6800 XT and RX 5700 are all strong contenders in their own right, with good hash rate levels and processing speeds. However, miners typically seek to mine for very long durations, and the possibility of the cards heating up is very real. There is a high probability that you’ll need to wait for a very long period of time to realize a good ROI with these options, if at all. That leaves the Nvidia RTX 3090 as the last GPU standing. Its incredibly high 24GB memory, coupled with the jaw-dropping hash rate of over 120 MH/s, make it an ideal option for miners, even for the longest durations. Yes, it is priced significantly higher than the other GPUs discussed in the article, but the main thing to keep in mind here is that if your priority is crypto mining, there genuinely is no better option than the RTX 3090. It’s understandable if you want to forego the powerhouse for less costly options in terms of gaming, but when it comes to mining, you should cough up more cash and get your hands on the RTX 3090. You’ll have the best possible shot at recouping your investment a few months down the line, so go for it! Nvidia also on limiting graphic cards capability for mining to keep the availability of its top hardware for gaming users. hinted Which GPU should you buy for gaming? The CMP 40HX is made primarily for mining, so we’ll not consider it here. Moreover, although the RX 5700 XT has good enough gaming specs, its primary strength also lies in the mining department. All the other three among Nvidia’s GeForce RTX 3080, GeForce RTX 3090 and AMD Radeon RX 6800 XT pack a real punch in terms of overall gaming performance, but when it comes to choosing which one to go for, various factors come into consideration. The Nvidia GeForce RTX 3090 graphic card is the clear winner when it comes to gaming, but there is a caveat - at $1500, it’s priced way higher than the other two. If you are a deep-pocketed enthusiast who doesn’t mind spending exuberantly for the absolute best performance possible - both gaming and general - then it’s the GPU to go for. But if price is your concern, you should narrow the options down to the other two. Even though Nvidia GeForce RTX 3080 is priced $50 higher than AMD Radeon RX 6800 XT, its Ampere architecture brings more to the table in terms of performance improvements than the latter’s RDNA 2 architecture. Furthermore, RTX 3080’s DLSS technology significantly improves the image resolution of games with minimal impact on the FPS rate. As such, RX 6800 XT doesn’t offer a direct counterpart to DLSS. Image: TomsHardware From the 10-game DirectX Ray Tracing benchmark comparison at 1440p resolution above, we can see that RTX 3080 holds an edge over RX 6800 XT in all but two games - and . The overall average of 61.5 FPS across the 10 games is better than RX 6800Xt’s 45.8. Godfall Dirt 5 For all these reasons, you should shell out a little more cash and go with Nvidia’s GeForce RTX 3080 - the extra $50 shouldn’t be a reason to give up its impressive features and slightly better overall gaming performance. What are your thoughts? Feel free to let us know in the . Hackernoon Community

5 Best GPUs for Crypto Mining

Stories, News & Mentions about AMD

Amd’s Stories on HackerNoon

Amd's News & Mentions