Best match

Most recent

Partnership

Here are some possibilities: If an organization has a deep learning environment and needs access to a cluster of Nvidia H100 GPUs for bursting while performing deep training, the Lambda cloud is a good fit. If an organization has its own AI cluster but ...

Analyzing The Lambda Labs Partnership With VAST Data

Forbes

NASDAQ

Nvidia

Seeking Alpha

Nvidia's exceptional performance, market dominance, and AI growth potential suggest a discounted stock with potential. Click here for my take on NVDA stock.

https://www.bing.com/th?id=OVFT.YUT28BvsnTm8oiyCrFlafi&pid=News

Nvidia: Road To $1,200 By 2030

https://www.bing.com/th?id=ODF.T3WKS_yw6iQ2VstDFu9FMw&pid=news

Enterprise

Marketplace

Oracle announced that NVIDIA AI Enterprise, an enterprise-grade software that accelerates data science and streamlines development and deployment of production-ready AI, and the NVIDIA DGX Cloud AI supercomputing platform are now available through the ...

NVIDIA AI Enterprise and DGX Cloud Availability in the Oracle Cloud Marketplace

dbta

Chainwire Aethir, a pioneer in Decentralized Cloud Infrastructure (DCI) for gaming and AI, today announced it has joined NVIDIA Inception, a program that nurtures startups revolutionising industries with technological advancements.

https://www.bing.com/th?id=OVFT.p7c03OxXpin-5ANOgX6TsC&pid=News

Aethir Joins NVIDIA Inception Program

Cryptopolitan on MSN.com

Future

Hardware

Scientist

Computer vision is an ever-evolving field of artificial intelligence focused on enabling machines to interpret and understand visual information from the world, similar to how humans perceive and process images and videos. Dr. Jiamin Wu, one of the authors ...

https://www.bing.com/th?id=OVFT.s6aUJgoqo-eC4B_HtCRzjS&pid=News

The future of AI hardware: Scientists unveil all-analog photoelectronic chip

techxplore

The Motley Fool

Nvidia has an estimated 95% of the machine learning semiconductor industry. AI chip demand is growing very fast. Nothing is guaranteed, but Nvidia's future looks bright. It's impossible to predict what will happen with any company from day to day ...

https://www.bing.com/th?id=OVFT.p9Toxcats7aKSq4m7hANni&pid=News

Human Be-In

Where Will Nvidia Be in 1 Year?

Nvidia used GPT-4 to improve reinforcement learning for robots by crafting better rewards than human programmers could.

https://www.bing.com/th?id=OVFT.Wuyt32DYQSTrqHgHFk2bRy&pid=News

Why Nvidia is teaching robots to twirl pens and how generative AI is helping

https://www.bing.com/th?id=ODF.98pearyBpWv0YXa3_atSUw&pid=news

ZDNet

"This effort marks an important step in applying LLMs to the complex work of designing semiconductors," Bill Dally, Nvidia's chief scientist, said. "It shows how even highly-specialized fields can use their internal data to train useful generative AI models."

https://www.bing.com/th?id=OVFT.YzODuegb6Kdx0YYn5EaiKS&pid=News

Train

Chip

Don't feel left out, chip designers. Nvidia's made a chatbot assistant for you, too

https://www.bing.com/th?id=ODF.Ov-VRbeGDpC4zqV48Vnt3w&pid=news

theregister

It highlights how AI is revolutionizing various aspects of engineering, from design and testing to maintenance and optimization. The article discusses the integration of machine learning algorithms and AI-driven tools into engineering processes ...

Nvidia Is Piloting a Generative AI for Its Engineers

Semiconductor Packaging News

Intel Corporation

Naver, a well-known South Korean AI company, has reportedly teamed up with Intel to develop solutions that can replace Nvidia's AI accelerators, which are essential components for improving AI services.

https://www.bing.com/th?id=OVFT.IrPGx9_LfQOTukdJqNLRmC&pid=News

Naver, Intel team up to replace Nvidia GPUs with CPUs for AI inference

https://www.bing.com/th?id=ODF.dLriAXVlx_f8L9Xl3Mywjw&pid=news

Digi Times

Get the most recent info and news about NVIDIA on HackerNoon, where 10k+ technologists publish stories for 4M+ monthly readers.

NVIDIA Corporation operates as a visual computing company worldwide. It operates in two segments, GPU and Tegra Processor. The GPU segment offers processors, which include GeForce for PC gaming and mainstream PCs; GeForce NOW for cloud-based gaming; Quadro for design professionals working in computer-aided design, video editing, special effects, and other creative applications; Tesla for artificial intelligence (AI) utilizing deep learning, accelerated computing, and general purpose computing; GRID, which provides power of NVIDIA graphics through the cloud and datacenters; DGX for AI scientists, researchers, and developers; and EGX for accelerated AI computing at the edge. The Tegra Processor segment provides processors comprising SHIELD devices and services designed to harness the power of mobile-cloud to revolutionize home entertainment, AI, and gaming; AGX, a power-efficient AI computing platform for intelligent edge devices; DRIVE AGX for self-driving vehicles; Clara AGX for medical instruments; and Jetson AGX for robotics and other embedded use. The company's products are used in gaming, professional visualization, datacenter, and automotive markets. NVIDIA Corporation sells its products to original equipment manufacturers, original device manufacturers, system builders, add-in board manufacturers, retailers/distributors, Internet and cloud service providers, automotive manufacturers and tier-1 automotive suppliers, mapping companies, start-ups, and other ecosystem participants. NVIDIA Corporation was founded in 1993 and is headquartered in Santa Clara, California.

NVIDIA

2023 has seen leading chipmaker Nvidia [NASDAQ: NVDA] embark on an extraordinary journey into an exclusive club of $1 trillion companies on Wall Street. But with fresh challenges looming on the horizon, is the stock ready to build on its recent performance? Thanks to a whirlwind price rally throughout the first half of 2023, Nvidia became to reach a market capitalization of $1 trillion and is currently one of six firms alongside Apple (AAPL), Microsoft (MSFT), Alphabet (GOOG), Amazon (AMZN), and Saudi Aramco to hold a 13-figure value. just the ninth company \Nvidia’s growth, buoyed by the , has been nothing short of exceptional. Peaking at 244% growth in Q3, the stock has since undergone a correction before recovering much of its lost value in time for Q4 2023 in a strong show of resilience. generative AI boom Such extraordinary growth came as the result of a conscious shift towards anticipating the artificial intelligence boom, which was sparked by the launch of OpenAI’s ChatGPT large language model (LLM) in late 2022. “We had the good wisdom to go put the whole company behind it,” , CEO of Nvidia, in a CNBC interview. explained Jensen Huang “We saw early on, about a decade or so ago, that this way of doing software could change everything. And we changed the company from the bottom all the way to the top and sideways. Every chip that we made was focused on artificial intelligence.” Such industry foresight will be music to the ears of Nvidia’s growing mass of investors. The stock’s sustained performance is helping to draw comparisons between Nvidia and Tesla [NASDAQ: TSLA] due to their respective performance built on their commitment to innovation. However, such comparisons aren’t always productive for stocks and can cause bubbles that swell due to investor complacency. "Nvidia is the stock market's new Tesla, where the market blindly assigns a ridiculously high and unrealistic valuation," , corporate finance expert at New Constructs. "We're not denying that Nvidia is a great company, but we are pointing out that its valuation is beyond lofty and unjustifiable." warned David Trainer So, could Nvidia’s newfound Tesla status see the company push towards a $2 trillion valuation in the future? Or is a market correction inevitable? Evidence suggests that the path to $2 trillion is likely to be full of fresh challenges for the star of the generative AI boom. Dismantling Nvidia’s Monopoly The reason behind Nvidia’s exceptional market performance is clear. With an estimated 80% global market dominance for the chips most suitable to run generative AI applications, Nvidia’s position within the industry is largely uncontested. Much of Nvidia’s success has been down to the timely launch of its H100 chip, which has been widely regarded as the best of its kind when powering and LLM applications. generative AI The H100 chip has been positively received throughout the industry. “During the quarter, major cloud service providers announced massive NVIDIA H100 AI infrastructures,” in a Q2 earnings statement. Huang claimed “ ” Leading enterprise IT system[s] and software providers announced partnerships to bring NVIDIA AI to every industry. The race is on to adopt generative AI. However, there appear to be multiple threats to Nvidia’s generative AI market monopoly that are gathering momentum. One of Nvidia’s closest competitors, AMD, recently , an open-source artificial intelligence software startup, in a bid to compete more directly in AI markets. announced the acquisition of Nod.AI Nvidia also appears set to face competition from some of the AI landscape’s leading players. The growth of ChatGPT has directly aided the stock market rally experienced by Nvidia, but with news that ChatGPT’s parent company OpenAI may be considering the to cut costs and lower its dependence on Nvidia as well as major investor Microsoft, the days of Nvidia’s AI market dominance may be numbered. development of its own AI chips Generative AI’s “Cold Shower” Nvidia’s rally to a $2 trillion market cap will also be challenged by questions over sustainability as well as the emergence of rivals. According to a for the future of tech, analysts expect that the generative AI market “gets a cold shower in 2024” owing to entry costs, risk, and sustainability concerns, which ultimately “replaces the hype” swelling around the transformative technology. CCS Insight report The cost of running ChatGPT is estimated to weigh in at around $700k per day, , and these high barriers to entry are likely to cause more problems across industries as the hype for generative AI subsides and enterprises are faced with a hefty bill for embracing the technology early. suggests SemiAnalysis analyst Dylan Patel Costs associated with developing AI models can range and require the hiring of expensive researchers, buying into market leader Nvidia’s servers, and hiring AI developers who still have to buy the text, image, and knowledge base data required to train models. far higher than traditional software In addition to this, growing of this extensive chip usage to power generative AI models have called into question the compliance of generative AI adoption for ESG-focused firms. concerns surrounding the carbon footprint Could Nvidia Become The Next FAANG Sensation? Even with considerable challenges on the horizon, Nvidia’s market head start means that the company is well-positioned to continue innovating beyond its rivals and to establish itself in an industry that appears set for sustained long-term growth. “ ” claims Maxim Manturov, head of investment research at . “ ” Factors such as generative artificial intelligence and the metaverse may provide NVIDIA with a FAANG level of popularity, Freedom Finance Europe Generative artificial intelligence is a rapidly growing field that has the potential to revolutionize many industries. Although short-term volatility may come into play as reality bites for the generative AI boom, Bloomberg Intelligence’s forecast that the industry valuation by 2032, representing a CAGR of 42% over a decade, could become a reality when considering the vast transformative implications of AI for countless global industries. will attain a $1.3 trillion As for the path towards a $2 trillion market cap, Nvidia would need to double its annual revenue to $54 billion and adjusted net income to $17 billion at between 2023 and 2030 to double its current output. respective CAGRs of 10% Whether this seemingly achievable level of performance can be reflected in a $2tr capitalization will likely be down to the state of investor appetite for generative AI stocks by the end of the decade. What we can be sure of is that Nvidia has proven time and again that it’s ready to out-innovate its rivals and capitalize on opportunities long before they materialize. With such a pioneering focus, it seems like anything can be possible for the star of generative AI.

The Path from $1 Trillion to a $2 Trillion Market Cap Will be Harder for Generative AI Star Nvidia

জেনারেটিভ এআই স্টার এনভিডিয়ার জন্য $1 ট্রিলিয়ন থেকে $2 ট্রিলিয়ন মার্কেট ক্যাপে যাওয়ার পথ কঠিন হবে

Der Weg von einer Billion US-Dollar zu einer Marktkapitalisierung von 2 Billionen US-Dollar wird für den generativen KI-Star Nvidia schwieriger sein

El camino de 1 billón de dólares a una capitalización de mercado de 2 billones de dólares será más difícil para la estrella de la IA generativa Nvidia

Le chemin d’une capitalisation boursière de 1 000 milliards de dollars à 2 000 milliards de dollars sera plus difficile pour la star de l’IA générative Nvidia

जेनरेटिव एआई स्टार एनवीडिया के लिए $1 ट्रिलियन से $2 ट्रिलियन मार्केट कैप तक का रास्ता कठिन होगा

生成 AI のスターである Nvidia にとって、時価総額 1 兆ドルから 2 兆ドルへの道はより困難になる

생성 AI 스타 Nvidia에게는 1조 달러에서 2조 달러의 시가총액으로 가는 길은 더 어려울 것입니다

O caminho de US$ 1 trilhão para um valor de mercado de US$ 2 trilhões será mais difícil para a Generative AI Star Nvidia

Путь от 1 триллиона долларов до рыночной капитализации в 2 триллиона долларов будет труднее для звезды генеративного искусственного интеллекта Nvidia

Üretken Yapay Zeka Yıldızı Nvidia için 1 Trilyon Dolardan 2 Trilyon Dolara Piyasa Değerine Giden Yol Daha Zor Olacak

Con đường từ 1 nghìn tỷ USD đến vốn hóa thị trường 2 nghìn tỷ USD sẽ khó khăn hơn đối với Ngôi sao AI sáng tạo Nvidia

对于生成型 AI 明星 Nvidia 来说，从 1 万亿美元市值到 2 万亿美元市值的道路将更加艰难

How are you, hacker?
🪐 has got you covered with fresh content from our top 5 stories of the day, every day at noon your local time! Set email preference . What's happening in tech this week: The Noonification by HackerNoon here Borrowing on Ethereum: Comparing Architecture Evolution of MakerDAO, Yield, Aave, Compound,  Euler By [ 12 Min read ]
Comprehensive overview of the key collateralized borrowing applications on Ethereum. Reusable approach to analyse other similar applications. @albertocuestacanada Read More. Creating a Data Lakehouse using Apache Iceberg and MinIO By [ 12 Min read ]
The promise of Data Lakehouses is in their capabilities for structured and unstructured data, all in a centralized solution using Apache Iceberg and MinIO. @minio Read More. Is Nvidia Abusing its Market Position? By [ 4 Min read ]
It all started with news of an early-morning raid on Nvidias French offices. @sheharyarkhan Read More. ChatGPT Now Speaks, Listens, and Understands: All You Need to Know By [ 2 Min read ]
All you need to know about new ChatGPT feature - Voice assistant @sergey-baloyan Read More. 77% Of Hiring Managers Say Job Hopping Is A Red Flag By [ 3 Min read ]
It’s estimated that millennials average two years and nine months in a role and Gen Xers average five years and two months. 🧑‍💻 What happened in your world this week?It's been said that , , . Feeling stuck? We got you covered ⬇️⬇️⬇️ We hope you enjoy this worth of free reading material. Feel free to forward this email to a nerdy friend who'll love you for it.See you on Planet Internet! With love,
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The Noonification: Is Nvidia Abusing its Market Position? (10/7/2023)

How are you, hacker?
🪐 has got you covered with fresh content from our top 5 stories of the day, every day at noon your local time! Set email preference . What's happening in tech this week: The Noonification by HackerNoon here Is Nvidia Abusing its Market Position? By [ 4 Min read ]
It all started with news of an early-morning raid on Nvidias French offices. 🧑‍💻 What happened in your world this week?It's been said that , , . Feeling stuck? We got you covered ⬇️⬇️⬇️ We hope you enjoy this worth of free reading material. Feel free to forward this email to a nerdy friend who'll love you for it.See you on Planet Internet! With love,
The Hacker Noon Team ✌️ @sheharyarkhan Read More. writing can help consolidate technical knowledge establish credibility and contribute to emerging community standards ANSWER THESE GREATEST INTERVIEW QUESTIONS OF ALL TIME

The Noonification: Is Nvidia Abusing its Market Position? (10/4/2023)

Is Nvidia abusing its market position? That's the question EU regulators were asking themselves as they began taking a closer look into Team Green's market position, particularly in the wake of explosive interest in generative AI which has propelled into the ™. Nvidia Trillion Dollar Club It all started with news of an early-morning raid on Nvidia's French offices, this past Tuesday, over that the Santa Clara, Calif.-based chipmaker engaged in anticompetitive practices. Now whether the company actually breached any competition laws is yet to be determined, and we're likely some time off before any such conclusions can be made, but, if proven, the company could be looking to pay as much as 10% of its annual turnover in fines under the EU's . suspicions competition laws That's a hefty amount when you consider the the company generated in sales during its last fiscal year. At the maximum penalty level of 10%, Nvidia would be liable to pay around $2.7 billion in fines in the EU. *whistles* $27 billion Trouble isn't just brewing in France though. Just days after the raid, Bloomberg News reported the European Commission was investigating whether market participants were abusing their position in the GPU market, particularly given the chips' prominence in powering the ongoing AI revolution. While it may sound like there is a healthy mix of GPU suppliers in the market, the truth is that Nvidia has a near monopoly in the space with its 80% share. The European Commission's investigation will likely predominantly involve the company and its role in AI chips, its price policy, the shortage of chips and its impact on prices, Reuters . takeover reported The European Commission's *ahem*.. inquiries are still early-stage and might not necessarily result in a formal probe or penalties, the report said. That said, gamers have Nvidia's abysmal price-to-performance ratio when it comes to its graphic cards over the past three generations, with some 4-series cards being for lacking any meaningful performance uplift over their predecessors. But that doesn't seem to bother Nvidia, especially considering that the company is looking to elsewhere. Why worry yourself with the small fish when enterprise organizations are trying to get Nvidia hardware designed specifically for AI workloads? No wonder then the company is expecting to make more and more money in the quarters to come. long decried heavily panned make money bending over backwards But where does that leave Nvidia competitors and ? Well.. as we've said before, both companies are so far behind that it's not even a fair comparison. Intel is busy trying to tot a Taiwanese competitor, while AMD is a foothold with gamers long neglected by Nvidia. Intel AMD catch up trying to gain That isn't to say that everything is in Nvidia's favor. A from The Motley Fool indicates that the company might be more prone to disruption than some may think, particularly given that Nvidia's competitors have long touted open source alternatives that could compete with Nvidia's more expensive hardware. Perhaps this is why AMD CEO Lisa Su recently , "I'm not a believer in moats when the market is moving as fast as this," referring to Nvidia's perceived AI moat. report said Ah well. AMD ranked #19 on HackerNoon's Tech Company Rankings this week. 👋 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. goes live tomorrow. Hate waiting? No problemo! Just subscribe to receive the newsletter part 1 Part 2 here complete a day early in your inbox. * \In Other News.. 📰 AMD CEO Lisa Su on the AI revolution and competing with Nvidia — via . The Verge Elon Musk's X Corp in another legal fight over unpaid rent, this time as plaintiff — via . Reuters This is Financial Advice — via . YouTube Google launches $399 Chromebook Plus category — via . TechCrunch Atari 2600+ sees its future in retro gaming — via . CNN How AI works, in plain English: Three great reads — via . Axios Apple will issue a software update to address iPhone 15 overheating complaints — 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 the time of publication. To see how the rankings have changed, please visit the Tech Company Rankings page.

Is Nvidia Abusing its Market Position?

এনভিডিয়া কি তার বাজার অবস্থানের অপব্যবহার করছে?

Missbraucht Nvidia seine Marktposition?

¿Nvidia está abusando de su posición en el mercado?

Nvidia abuse-t-il de sa position sur le marché ?

क्या एनवीडिया अपनी बाज़ार स्थिति का दुरुपयोग कर रहा है?

Nvidia は市場での地位を乱用しているのでしょうか?

Nvidia가 시장 지위를 남용하고 있나요?

A Nvidia está abusando de sua posição no mercado?

Nvidia злоупотребляет своим положением на рынке?

Nvidia Pazar Konumunu Kötüye mi Kullanıyor?

Nvidia có đang lạm dụng vị thế thị trường của mình không?

英伟达是否滥用其市场地位？

Nvidia recently unveiled upgrades to its Grace Hopper “superchip” that combines CPU and GPU for artificial intelligence workloads. The enhanced GH200 model delivers significantly increased memory bandwidth to feed data-hungry AI models. Feeding the AI Beast The next-gen Grace Hopper contains 140GB of cutting-edge HBM3e memory, up from 96GB in the initial version. This provides a massive 5 terabytes per second of bandwidth into the GPU, a 25% boost over the original design. Dual-chip configurations can achieve 10TB/s total memory throughput. The extreme speed is crucial for handling exploding model sizes in areas like generative AI. Enterprise-Ready Design The GH200 sticks to Grace Hopper’s template of fusing 72 ARM CPU cores with 144 GPU cores using Nvidia’s NVLink interconnect. This unified architecture optimizes data flow for AI workloads. Nvidia is also ensuring wide compatibility with its MGX server specification. The GH200 will slide into over 100 existing server configurations for enterprise deployment. Staking a Claim in AI Hardware With AI accelerators representing a potential $100 billion market by 2025, Nvidia aims to cement its first-mover advantage. The beefed-up Grace Hopper will help the chipmaker deliver industry-leading AI performance as competition intensifies. Nvidia has staked its future on AI. The GH200 is an ambitious play to dominate the AI chip battleground and fulfill that mission. But rivals like AMD and Intel won’t cede ground easily in this high-stakes race. The March of Progress From healthcare to science to creativity, AI holds immense promise to benefit humanity. But technology alone is not enough — progress must align with enduring values of ethics and wisdom. By imbuing machines with humanity’s highest ideals, we ensure technology elevates our collective future. Sources: Nvidia’s Announcement at SIGGRAPH Conference Keynote by Jensen Huang Technical documentation on Nvidia’s GH200 Grace Hopper platform Reports on Nvidia’s market position and valuation Insights on AI memory demands and HBM’s evolution. “. Thank you for reading “Nvidia Boosts AI “Superchip” with Faster Memory and Expanded Capabilities Subscribe to our newsletter: Consensus Protocol Follow us on Twitter: Twitter Also published . here

Nvidia Strengthens AI “Superchip” with Faster Memory and Expanded Capabilities

Can the Nvidia RTX A4000 ADA Handle Machine Learning Tasks?

¿Puede Nvidia RTX A4000 ADA manejar tareas de aprendizaje automático?

Le Nvidia RTX A4000 ADA peut-il gérer les tâches d'apprentissage automatique ?

क्या एनवीडिया आरटीएक्स ए4000 एडीए मशीन लर्निंग कार्य संभाल सकता है?

Nvidia RTX A4000 ADA は機械学習タスクを処理できますか?

A Nvidia RTX A4000 ADA pode lidar com tarefas de aprendizado de máquina?

Nvidia RTX A4000 ADA có thể xử lý các tác vụ học máy không?

Nvidia RTX A4000 ADA 可以处理机器学习任务吗？

Imagine creating stunning Instagram images without leaving home or having to take actual photos! 's new AI model, Perfusion, advances text-to-image generation with enhanced control and fidelity for concept-based visuals. NVIDIA What is Perfusion? Perfusion is a significant improvement over existing techniques, overcoming limitations in generating images that remain faithful to the original content. AI This model can accurately create these "concepts" in a variety of new scenarios. Perfusion builds on with additional mechanisms for locking onto and generating multiple "concepts" in new images simultaneously. This results in unbeatable quantitative and qualitative performance, opening exciting possibilities across diverse industries. Stable Diffusion 🚧 While not perfect, Perfusion is a significant step forward for text-to-image models. Challenges include maintaining an object's identity and some overgeneralization, as well as requiring a bit of prompt engineering work. NVIDIA's Perfusion sets the stage for an exciting future of AI-generated images tailored to our desires. Check out or to learn more! the video read this article Watch the Video Below https://youtu.be/WhFoEaB7CvY?embedable=true&transcript=true

NVIDIA's Perfusion AI Model Takes Text-to-Image Generation to the Next Level

NVIDIA-এর পারফিউশন এআই মডেল টেক্সট-টু-ইমেজ জেনারেশনকে পরবর্তী স্তরে নিয়ে যায়

Das Perfusion-KI-Modell von NVIDIA bringt die Text-zu-Bild-Generierung auf die nächste Stufe

El modelo Perfusion AI de NVIDIA lleva la generación de texto a imagen al siguiente nivel

Le modèle d'IA Perfusion de NVIDIA fait passer la génération de texte à image à un niveau supérieur

NVIDIA का परफ्यूजन AI मॉडल टेक्स्ट-टू-इमेज जनरेशन को अगले स्तर पर ले जाता है

NVIDIA の Perfusion AI モデルは、テキストから画像への生成を次のレベルに引き上げます

NVIDIA의 Perfusion AI 모델은 텍스트-이미지 생성을 한 단계 더 발전시킵니다.

O modelo Perfusion AI da NVIDIA leva a geração de texto para imagem ao próximo nível

NVIDIA'nın Perfüzyon Yapay Zeka Modeli, Metinden Görüntüye Üretimi Bir Sonraki Seviyeye Taşıyor

Mô hình AI Perfusion của NVIDIA đưa việc tạo văn bản thành hình ảnh lên một tầm cao mới

NVIDIA 的 Perfusion AI 模型将文本到图像的生成提升到一个新的水平

Featured image generated using Kadinsky 2 using the following prompt: “Nvidia CEO Jensen Huang Holding a graphic card At a Tech Conference while crying” has shot itself in the foot. And if that sounds familiar, it's because . It was only a few months ago that how HackerNoon readers were just as likely to buy an graphic card as they were an Nvidia chip, but with the launch of team green's 4070, the company may have just crowned its competitor's cards king. 👑 Nvidia it is we highlighted AMD The fact that HackerNoon readers were near evenly split on whose graphic card they'll purchase next was a miracle unto itself. Had AMD not reinvented itself under CEO Lisa Su, it's likely that the company would have faded to obscurity-given its poor products and absence from both the CPU and GPU markets for years on end in the early to mid 2010s. But with the launch of Nvidia's latest graphic card, the 4070, the company has solidified AMD's position in the GPU market. It is a rare occurrence to see of an Nvidia graphic card ending with a for an AMD GPU instead. So, what went wrong? tech reviews strong recommendation Well, at debate is 4070's performance and price point: for $600 MSRP, you get a graphic card that is virtually no different from the last-gen 3080 but for $100 less, since the 3080 launched at an MSRP of $700. But because the world was going through a pandemic AND a crypto boom at the time, it was near impossible to find any graphic card at their suggested MSRPs, forcing consumers to dish out more than $1k per unit depending on make and model. For some odd reason, Nvidia looked at this, and said.. "Hmm.. what if could milk consumers instead of scalpers." we Enter: the 40 series. The launch of the flagship 4080 graphic card at $1,200 MSRP really set the tone for what the company was aiming for in gaming — high prices for high performance boost generation-over-generation. But as Gamers Nexus rightfully pointed out in their , "The needle has not moved if you're moving everything with it." reallllllyyy reallllllyyy own reviews However, with the launch of the 4070 Ti at $800 MSRP,reviewers a troubling pattern. Sure, you were still paying a high price, but without the generational uplift in performance. Nvidia's 70 class GPU variants are deemed to be the most accessible to gamers because of an affordable price-to-performance ratio, but at $800, the 4070ti was neither affordable nor significantly better than what came before it. started noting Which brings us to the 4070. Consumers might be tempted to think that for $600 MSRP, they're basically getting the last-gen flagship — the 3080 — but there are other factors to consider. For one, historically, every 70 class GPU variant has offered better performance than the previous 80-class variant. For the 4070's, that's not the case. But what's worse is, sure, the 4070 is cheaper than the 3080, but it's actually than the last-gen 70 variant card, the 3070, which had an MSRP of $500. more expensive Another limiting factor for the Nvidia cards has been the vrams. Consumers who had hoped to future proof themselves by buying higher class Nvidia variants like the 70 class or the 80 class last gen have been in for a rude awakening lately, with those cards to pump out the maximum frames (and visuals!) needed to play optimally on players' hardware because of their limited . struggling vram While the 4070 does come with a higher vram (12 GB vs. the 3080's 10 GB), most reviewers note that this is now the bare minimum in 2023. Moreso, future gaming needs might necessitate more than what Nvidia's selling, raising worries about whether the company is engaging in . planned obsolescence With all that in mind, only a die-hard Nvidia fan would look at the 4070 and think nothing's wrong with it — and sadly for Nvidia, it doesn't look like there are many die-hard Nvidia fans out there. As of today, the 4070s are just and are available for purchase, at MSRP, across multiple websites, indicating that consumers really aren't interested in dishing out $600 for an "OK" card. sitting on shelves What consumers be interested in spendingon are the cheaper, and often better performing, AMD cards, which, despite being one generation old, have wiped the floor with the 4070 due to their crazy price-to-performance ratio. might Reviewers recommend starting from the RX 6800 and the RX 6800 XT to the high-end RX 6950 XT. Depending on which one you opt for, you can pay either a little more (RX 6950 XT @ ~$630+), a little less (RX 6800 XT @ ~$540 to $580), or significantly less (RX 6800 @ ~$480+) for on-par (RX 6800/RX 6800 XT) or (RX 6950XT) performance. In addition to better price-to-performance ratio at current market prices, reviewers have also pointed to the 6000 series cards' higher vram (all of the aforementioned cards come with 16 GB of vram) for a reason to opt for AMD. much better Anyway, it was a bad week for Nvidia. On HackerNoon, both and saw crazy spikes in their trending interest over the internet this week. The internet chatter re: Nvidia was 9x more than last week, helping it land on the #47 spot while AMD was resting comfortably on the #70 spot on HackerNoon's . Nvidia AMD Tech Company Rankings 👋 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. Subscribe to receive the newsletter in your inbox every Tuesday! here In Other News.. 📰 The Chinese government is , asking the company to "take root" in the country. Intel ranked #53 this week. courting Intel Calls to regulate AI have begun. Here's a on which government is doing what. primer Bing Search is coming to a Samsung device near you. A indicates that South Korea's may replace Google as the on its mobile phone devices in favor of Microsoft's Bing, which is powered by ChatGPT. Samsung ranked #11 this week. new report Samsung Electronics default search engine Was 's lower-cost subscription plan a success? We'll in the near future. Netflix ranked #1 this week. Netflix find out And that's a wrap! 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NVIDIA

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13775 employees

Since 1993

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NVIDIA

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NVIDIA

NVIDIA

nvidia.com

13775 employees

Since 1993

COMPANY RANKING

NVIDIA

EVERGREEN INDEX #31

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