Using data provided by research firm Statista, CNBC analyzed the top nations overall when it comes to financial technology.

With China playing catchup with the U.S., these 3 charts show the top countries for fintech in 2023

Citcon USA LLC, a global digital payments leader, is excited to introduce Casey Bullock as its new Chief Executive Officer (CEO).

Citcon USA LLC Announces Appointment of New CEO, Casey Bullock

Global payments firms are spending billions of dollars on fintechs around the continent as e-commerce growth picks up.

Visa, Mastercard want a slice of Africa’s mobile money

Bugcrowd has reported significant customer growth in the last year. The company has seen growing demand for its crowdsourced cybersecurity platform. It

Bugcrowd experiences continual customer growth

US firm Jefferies to donate $13m to 10 charities providing humanitarian aid to terror victims; General Catalyst will donate $250,000 and Oracle $1m to support humanitarian relief

Tech giants from Google to Oracle condemn ‘horrific’ Hamas attack, pledge Israel aid

Israeli fintech company Rapyd also announced that it has also set up a special operations room with similar activities used against money laundering by terrorist organizations and that it has already received dozens of enquiries to actively halt funds ...

Tech experts battle to shut down Gaza financial pipeline

A recent study on B2B cross-border payments by global fintech leader Rapyd has revealed that nearly 1 in 2 businesses in Singapore expressed a strong need for innovative fintech solutions to tackle business concerns. Despite the accelerated adoption of ...

Nearly 50% of Singapore Businesses Express Need for Innovative FinTech Solutions to Address Financial Challenges

Four in 10 business-to-business companies in Singapore incur fees ranging from US$10 to US$25 per cross-border transaction, data from Rapyd showed. Some even incur around US$25-US$50 (26%) and over US$50 (14%) per transaction.

Almost half of B2B companies in SG incur cross-border fees ranging US$10-US$25

Prosus-backed fintech giant PayU India intends to file its draft red herring prospectus (DRHP) with markets regulator SEBI in February

Prosus-Backed PayU Looking To File DRHP For $500 Mn India IPO In February

Rapyd

rapyd

Fintech is the umbrella term for various financial innovations and technologies. In this modern and increasingly digital world, are emerging rapidly. This transformation is due to the internet revolution and is being driven by the development of blockchain, an innovative new technology that has the potential to transform finance. Businesses are leveraging fintech innovation to develop products, services, and platforms that can be used by customers who want access to financial services in a digitized and convenient manner. This article aims to brief about fintech and further explores the top 20 fintech startups shaping the future of finance. fintech startups Fintech Startups Fintech startups are companies that are using software and network technologies to improve the efficiency, cost-effectiveness, and reach of financial services. Fintech companies are disrupting the of traditional financial institutions while providing new services and tools to consumers. Read on to know more about the fintech industry. business models What is Fintech? The term Fintech is a combination of the words "financial" and "technology". Fintech involves the use of network technology, digitalization, and innovation that provides electronic payment systems, payment processing, and financial services. Fintech startups are applying the latest technology to create a more efficient and innovative financial system. Digitization results in the emergence of fintech startups that provide products and services to consumers at a lower cost than traditional financial institutions. Therefore, the use of technology is making the financial system faster, cheaper, and more efficient. How does the fintech industry work? The financial sector is undergoing a transformation as products and services are becoming much more accessible and efficient. This shift is being driven by the use of new technologies such as the internet, digital payments, artificial intelligence, the internet of things, and blockchain. The integration of technology with finance is helping to develop products and services tailored to the needs of users and businesses. The industry works in an automated and streamlined manner by using algorithms and machine learning to improve and evolve constantly. Thus, the fintech industry is transforming the face of financial services. Fintech trends in 2022 With the positive growth of the financial industry and increased investment by companies, fintech will continue to be a strong driving force in the financial sector. The acceleration of fintech innovation has been largely driven by the development of blockchain, artificial intelligence, and digital banking. In the year 2022, fintech will continue to be a driving force in the financial sector as the industry evolves, and many industries will be significantly impacted. Therefore, it is important that business leaders remain up-to-date with the latest fintech trends. Blockchain Blockchain is a type of technology that is revolutionizing finance. It has the potential to transform many industries such as healthcare, insurance, retail, manufacturing, and others. The blockchain allows decentralized networks and distributed ledgers to keep track of data and transactions in a transparent manner that protects information from being edited or deleted. This decentralized method ensures trustworthiness for all parties involved in the transaction, including businesses, customers, governments, regulators, investors, and others. You may have heard of cryptocurrencies such as Bitcoin that run on blockchain technology. Blockchain-based currencies may become a widespread means of exchange in the near future. Eventually, blockchain will reach a stage of maturity where it will help to facilitate payments in business transactions and daily life. Thus, blockchain has the potential to revolutionize the financial world and several other sectors as well. AI and ML Artificial intelligence (AI) refers to the use of software algorithms and machines that act in a way that mimics human behavior. Artificial intelligence is widely used in the fintech industry by providing recommendations, detecting fraud and criminal activities, providing customer service, advising, etc. On the other hand, Machine learning (ML) refers to utilizing algorithms to analyze large data sets and learn patterns. With machine learning, computers are able to make decisions more quickly with less involvement from humans. AI and ML are key components of several fintech technologies. Therefore, the continued development of AI and ML will result in the further advancement of fintech and the emergence of a new generation of products and services. Digital Banking The digital banking industry is a sector where fintech is making significant progress. The digital banking sector is undergoing various technological changes, and this trend will result in the further development of new services, platforms, and products. As consumers become more comfortable with using digital services and improved tech companies such as Apple Pay are entering the space, banks will be forced to adopt digital banking. In this highly automated and digitized world, digital banking creates a fully transparent system for customers to access their finances in real-time from anywhere. It also helps businesses to streamline processes by providing a unified view of financial information. These benefits allow the digital banking industry to create an exceptional user experience and transform the way people interact with their finances. Thus, the digital banking industry will continue to grow and familiarize people with technology that improves their experience. Top 20 fintech startups We have compiled a list of the top 20 fintech startups that are shaping the future of finance and transforming financial services. These top fintech startups have developed and implemented innovative solutions that are helping to improve the financial industry. 1. Eqvista is a fintech company that provides solutions to help manage your company cap table and shareholders. The company is founded on the values of transparency, security, and control. They focus on bringing the best service to their customers. Eqvista uses proven business models and proprietary technology to help every client with their equity management and valuation needs. Eqvista also focuses on offering a comprehensive service for all clients in all industries. Eqvista 2. Revolut is a fintech company that offers innovative, cutting-edge financial products and services. The company is founded on a philosophy of eliminating confusion and providing easy, transparent, and personalized financial solutions. Revolut has built the infrastructure to rapidly scale, transact, and manage billions of dollars worth of financial services. This company has built its core technology with a focus on global expansion and mobile usability. Revolut 3. M1 Finance is a fintech company that provides investment platforms and digital wealth management. You can invest, borrow, and spend in multiple currencies via their innovative platform. The company is focused on creating a better financial future for people worldwide and also helps to empower them to take control of their money. M1 Finance aims to be the best wealth management solution in the world where you can invest and manage your money at the same place together with all major investment instruments. M1 Finance 4. Paidy is a Japanese fintech company that offers online payment solutions for your everyday needs. The company aims to provide a reliable and secure platform for online payment that offers convenient and easy service. Paidy is fully integrated with a wide range of products and services from various businesses. This fintech company is committed to making online payment processes easier and faster for customers by providing a secure platform that enables them to pay from one place. Paidy 5. Rapyd Another largest local payment platform in London. is backed by some big players and has a good team of advisors. The company aims to make the payment experience simpler and more affordable. This fintech company has developed a platform based on AI that predicts the beneficiary of your payments before you've finished making them. It properly manages and executes your payment in a quick and efficient manner. Rapyd 6. FUNDSaiQ is powered by AI and Ml to offer their users financial advisory services and products. They offer a simple user interface, a world-class security system, and an innovative algorithm that allows them to provide excellent financial advisory services. Their team of advisors works with clients on an individual basis to select the right account for them. This fintech company is focused on making the experience of managing and securing your finances easier so that you can focus more on what really matters in your life. Fundsaiq 7. Bella is a new type of digital bank that focuses on offering financial services for everyone in the world. The company offers a full range of financial services that are customized for each person and based on the needs and goals of each individual. The company aims to provide the most efficient and simple platform for everyone to use so they can easily manage all aspects of their finances in one convenient place. Bella 8. Mollie is a startup that aims to create payment solutions that are integrated with innovative technologies to offer an efficient and fast payment system. The company is based in the Netherlands and has created a global payment platform that makes online payment fast and hassle-free for you. This fintech company provides fast and secure payment services for anyone to use. Mollie 9. Wise is a fintech company that offers instant money transfers and money transfers with one click. The company provides its clients with a secure online service that is easy to use, which makes moving money between two parties easier than ever. This fintech company has created a system where transferring money from one bank to another is as easy as sending a message. Wise 10. Baselane is an innovative fintech company based in North America that offers clients landlord banking and rental finance solutions. The company is founded on the principles of transparency, security, and the highest standards of service, which they implement by establishing strict compliance with the regulations and laws set. This fintech company aims to improve all aspects of housing finance. Baselane 11. NeoDove provides a telecalling CRM and sales engagement solution for banks and non-banking financial companies (NBFCs). The company has expanded its business and has developed an innovative solution that makes it easy for financial institutions to sell their products. This fintech company provides these banks with a simple, secure, and efficient solution that streamlines their sales process by making it easier for them to convert leads into clients. NeoDove 12. Fenergo is a financial software company that offers solutions to help companies manage the entire financial process. The company focuses on developing a comprehensive suite of software solutions designed to improve the management of companies from all over the world. Fenergo offers innovative and cutting-edge technologies in order to provide efficiency, transparency, and speed for their clients. Fenergo 13. Figure is a fintech company that offers mortgages, home equity, and personal loans for individuals. The company aims to make the process of acquiring a home or a personal loan straightforward, simple, and convenient for its customers. Figure's solutions are created to help customers achieve their financial goals by making the home purchase process seamless, thereby making it easier to own a home. Figure 14. BharatPe The largest mobile-first financial institution in India. The company is focused on providing innovative, efficient, and high-quality app-based payments and card acceptance services to merchants. is committed to improving people's banking experience in India by providing consumers with a state-of-the-art technology platform and services. This aims to serve the needs of merchants, businesses, and customers alike. Bharatpe fintech company in India 15. BlockFi is a US-based fintech company that offers competitive interest rates to its clients on the cryptocurrency loan market. The company aims to help people and businesses own and transact cryptocurrency by increasing the liquidity in the market. BlockFi provides their clients with low-interest rates on their loans and a secure platform where they can store their coins. BlockFi 16. Trade Republic is a Germany-based exchange that offers crypto and publicly listed securities trading capabilities. The company provides investors with a secure, reliable, and easy-to-use platform where they can buy and sell securities in a wide range of assets such as shares, commodities, indexes, and crypto. This fintech company is dedicated to advancing the mission of financial freedom and providing investors with smooth, fast, and reliable access to a wide range of assets that help them grow their investments. Trade Republic 17. Chime is a digital banking platform that provides zero-fee mobile banking solutions for consumers. The company combines the convenience of mobile banking and online banking with a personal approach, which makes its solutions more efficient and secure. Chime is a new type of bank that aims to give customers simple solutions that offer security, transparency, and excellent customer service. Chime 18. Robinhood is a stock brokerage company that has quickly become the largest and fastest-growing online brokerage in the US. The company offers its customers a simple and versatile platform where they can invest in stocks, ETFs, options, and cryptocurrencies all from one place. Robinhood 19. Stripe is a fintech company that offers e-commerce and payments services that are easy to use and provide simple integration with major systems. The company's goal is to help its clients grow their businesses by reducing the friction of financial transactions. This fintech company is at the forefront of creating innovation in the payments industry by offering a more secure, faster, and easier way to spend, save, invest, and grow their wealth. Stripe 20. Klarna is a global fintech company that offers an online payment service that is fast and convenient to use. The company's solution streamlines the payment process and makes it easier for its clients to pay, receive, and refund money. This fintech company aims to create simple and innovative ways to help their customers make informed decisions while shopping online, making transactions easier than ever. Klarna Conclusion Summing up, the recent developments in the world of fintech are a result of the increasing interest in innovation and technology. This article discussed all the top 20 fintech companies of 2022. It presented more than a dozen innovative startups that offer compelling solutions to help their clients solve their financial needs, meet their financial goals, and achieve greater financial freedom. The continuous development of fintech solutions is expected to bring new opportunities to a wide range of entrepreneurs, investors, and commercial stakeholders. Therefore, the fastest-growing fintech companies are expected to emerge as the market continues to grow and flourish.

Top 20 Fintech Startups to Watch in 2022

The FinTech industry is one of the fastest-growing technology sectors reaching a record high of a in 2020. This figure is almost triple the evaluation for 2016 ($2767.01 billion). $7301.78 billion valuation Yes, there is no doubt that the industry faces challenges such as these: Outdated technology Regulations – regulators are not taking any chances Security of data Consumer trust Regardless, technological disruptions are reshaping the financial sector, with more and more FinTech startups spearheading these innovations. And your business can latch onto this. Also, keep in mind that financial consumers are drifting online for their needs such as insurance, credit repair, and so much more as a result of the pandemic. This action, combined with startups popping everywhere, stipulates the necessity for improved technology integration. Not just any incorporation but product or service features that: Slowly vanquishes the challenges facing the industry. Keeps your business relevant. And stay a step ahead of the competition. This is what we are talking about. 7 FinTech Trends & Exactly How Financial Service Providers can take Advantage Make Use of RegTech The financial industry is bombarded with regulations. There is a need for this due to the peculiarity of the services your business offers. We are talking about dollar bills here. Lots and lots of it. However, the rate at which new regulations pop up every day is drowning FinTech startups. This is where Regulatory Technology comes in. RegTech focuses on software designed to facilitate regulatory requirements delivery more efficiently. The technology is powered by artificial intelligence and Big Data to help improve compliance with financial regulations in real-time. Hence, by relying on RegTech businesses, financial service providers are not caught unaware of regulations that may crackdown on their operations. Besides, RegTech can provide your business with real-time risk management strategies and analytics that will improve decision-making. CeDeFi Integrations - Take a Pinch from DeFi Now, if you haven’t heard about the DeFi, you may be living under the bridge or something - no offense. Decentralized finance has literally torn the financial industry apart. Despite the huge risks involved, as a result of its association with the cryptocurrency market, financial service providers need to take a closer look at DeFi. Reports show that as of October 2021, roughly $99 billion is locked in decentralized finance protocols. Keep in mind that this service started gathering momentum in 2021. Let the insanity of this growth sink in. DeFi combines financial services such as: Saving and investing Exchanges Lending Payment applications All of these come to operate not under a central authority, but as its name suggests, decentralized. However, DeFi goes beyond this decentralization to using smart contracts that cut the cost of middlemen and amplify trusts. This is because the parties involved have equal control. Besides, DeFi fixes many problems associated with CeFi (centralized finance), such as: High fees Slow transfers – argh! Eligibility – even 13-year-olds are running their transactions independently on DeFi protocol Internal crisis Transparency Low capital Can you see how disruptive this technology is? It fixes not one or two problems but more than 5 at a go! DeFi gets its peculiarity because it is being run on the blockchain platform. This will inarguably change the face of finance. What to do? CeFi and DeFi integrations. That’s it! As you can see, DeFi is just getting started. However, it needs centralized financial services to move towards a higher trajectory and maintain its dominance.  Its technicalities, for one, are too geeky for the mainstream. And consumers need someone to guide them most of the time. Embrace DeFi to fix these problems. It’s like killing two birds with one stone. Companies like Unizen, CoinZoom, and Nexo are already taking drastic steps by establishing exchanges that use both CeFi and DeFi functions. FinTech as a service – FaaS I mean, there are BaaS and SaaS. So why don’t we add another one? Yes, there is vast adoption of FinTech services. However, these service providers are operating in isolation. You have your means of payment, wallet, and everything that is all about your value offering. Of course, this action improves branding, but it could be suffocating for consumers. A consumer has to have a saving app, mortgage app, investment app, and every other financial need out there. What about if all of this could be one application? Can you see the difference? The efficiency? The cost reduction? The list goes on and on. Through Application Programming Interface, API, integrating these FinTech applications is possible.  Akurateco, a Netherlands-based cashier platform, is a good example. It brings together multiple payment solutions on a platform available for businesses. Rapyd is another good example. FaaS arguably takes the FinTech industry a step higher. Consider taking advantage of this trend. Offer your API to other financial service providers in a one-size fit all system. WealthTech – Money Management Made Easy DeFi brought in a new wave of consumers looking to manage their finances decentralized and online. More FinTech companies can take something for this. You see, during the 2020 lockdown when businesses went remote, people needed platforms, not for a mortgage payment or to keep up with their bills but to manage their wealth. Of course, the need had been there way before the pandemic, but the lockdown intensified this. FinTech Global reported $1.7 billion in funding for WealthTech businesses in Q1 of 2020. In the year 2021, the WealthTech sector is accelerating faster than before. We have Robo-advisors, which are the most popular WealthTech, gaining more and more traction. These platforms use machine learning and algorithms to help investors make better financial decisions. Unfortunately, fewer people are finding the need to put a call through to a financial advisory institution. They prefer these Robo-advisors. But here’s something more; experts predict that the use of Big Data and AI in the future will skyrocket WealthTech growth towards improved financial solutions. WealthTech is making money management simple and, most importantly, convenient. Your business can embrace this technology by developing a WealthTech platform complete with AI to improve customer experience. Investing in Cybersecurity One of the major problems facing FinTech companies is the security of data. Cyber threats have damaging effects on a company’s reputation. This is the last thing your business needs. You don’t just lose a ton of money plugging the data leak. You also lose customers. Forbes reports that businesses lose $2,900,000 every minute to cybercrime. The figure isn’t going down but increasing every year. This makes it a priority for every FinTech company. One way to make your business and customers’ data more secure is to obviously upgrade your security measures. However, there is more. Invest in threat response tactics. Campaign to raise awareness among your employees. Do the same for your customers. So, it goes beyond investing in the latest security technology. Work with these three recommendations. Insurance and FinTech Collaboration - InsurTech Technology implementations are no doubt transforming the financial sector both in business operations and service delivery. However, not every business within this sector is taking advantage of this trend due to its challenges. PwC as one of those businesses. As a result, they could dwindle out amidst the technological disruptions. However, there is a way out. pinpoints insurance companies With only 43% of insurers claiming to use FinTech as part of their corporate strategies, a gaping hole needs filling. Insurance companies can collaborate with FinTech providers to transcend into the InsurTech space that will allow widespread adaptation and catch up with financial consumers’ new eccentricity with technology use efficiency. Latch onto Open Banking Besides FaaS that allows for finance-related service integration, open banking offers another route. Open banking is the practice where banks collaborate with third-party financial services to improve customer experience. Physical banks and FinTech service providers share customers’ financial data securely and among licensed partners through open banking. Open banking works similarly to BaaS (Banking as a Service). However, with open banking, only consumer data is shared. Whereas, BaaS allows for banking functionality. Through open banking, FinTech business provides a more secure platform to meet consumer needs. For instance, lenders can get more accurate data of a customer’s financial situation to gauge risk level and offer credit terms that benefit both parties. And let’s face it, some customers still prefer the time it takes to go to a physical bank to get their needs sorted. However, with their details available to your FinTech business, you can offer propositions that will satiate them. For 2022, invest in open banking by collaborating with banks that will perfectly complement your offering. Here’s the deal, whatever trend is out there, you may still find your business behind. So you need to collaborate with a software developer who understands how the FinTech industry operates and the right tools your business needs to stay ahead of the curve. Our team of experts has put together a list analyzing factors such as: Familiarity with the FinTech industry, including how it operates and regulations to build software solutions in line with industrial demands. Transparent process – You want to know what exactly they are doing to help your business improve. A large array of updated solutions and customized technology innovations. Prioritize business and consumer data security. With this, we came up with a list of 3 FinTech software development companies that you should consider discussing these trends to get the perfect fit for your business. Top 3 FinTech Software Development Companies Helping Financial Service Providers Take Advantage of Trends 1. Altoros Labs Altoros Labs is one of the largest FinTech software development companies out there. Their wide range of FinTech solutions designed to improve your business functions and minimize costs shows their expertise. This company currently operates from more than 5 countries to meet FinTech business needs in every part of the world. Their goal is to help financial institutions and startups mitigate risks and stay ahead of the competition by developing software solutions, fostering collaborations between businesses (for BaaS), and integrating with third-party systems. Altoros Labs can do this with their team of mid to senior-level dedicated software development experts who prioritize quality software and seamless integration with your business existing systems. Their services include developing applications to foster: Digital banking Cards and payment Insurance Lending and Alternative Finance Investment Management and Brokerage Reach out to this to get started with discovering the FinTech solution that is right for your business to be not one but two steps ahead in 2022 and beyond. software development provider 2. IdeaSoft IdeaSoft is another leading FinTech software provider. This company aims to empower innovations by helping businesses like yours to build modernized technology solutions towards better outcomes. Since its establishment in 2016, IdeaSofts has operated with representatives in 12 different countries even though they are based in Ukraine. With them, your business can work with a FinTech tool to scale your operations. Their services include: Digital banking Financial planning Investment and savings Robo-Advising and Stock-Trading Apps Mobile Payments and Digital Wallets Lending and Crowdfunding Apps Cryptocurrency & Blockchain Accounting Reach out to them to get started with developing technology towards your business growth. here 3. Techment Here’s another software development company with a deep understanding of the financial sector. Their main objective is to improve business efficiencies and boost service delivery through customized digital solutions. Techment can keep up with its objectives and the demands of the financial industry through a talent pool of full-stack developers, domain specialists, data scientists, and platform specialists. Experts focused on delivering quality services. Techment provides software solutions for: Commercial Banks Mutual Fund Players Brokerage Firms Wealth Management Companies (Advisory) Investment Banks (Advisory) Payment Gateways Micro Lending Firms Reach out to them to get started taking advantage of FinTech trends in 2022. here The Bottom Line Here’s the thing, the FinTech industry growth is just getting started. Why? Consumers’ preferences are changing. Most are prioritizing convenience over every other benefit. We saw that with the growth of WealthTech. Suppose people start to get comfortable building wealth online, depending on the very complicated internet to manage their hard-earned money. In that case, businesses need to take note of this consumer behavior. Get started by figuring out measures to ensure your business stays relevant in the FinTech space.

7 FinTech Trends for Financial Service Providers to Keep a Note of in 2022

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https://www.sporttechie.com/nvidia-deep-learning-video-analytics-automate-future-player-scouting/ https://www.linkedin.com/pulse/how-become-machine-learning-engineer-path-andrew-nikishaev/ https://towardsdatascience.com/dealing-with-imbalanced-classes-in-machine-learning-d43d6fa19d2 https://medium.com/@dpatil/a-code-of-ethics-for-data-science-cda27d1fac1 https://towardsdatascience.com/only-numpy-implementing-gan-general-adversarial-networks-and-adam-optimizer-using-numpy-with-2a7e4e032021 https://medium.com/modeldepot/transfer-learning-will-radically-change-machine-learning-for-engineers-78732b2bb415 Big Data https://engineering.salesforce.com/how-apache-kafka-inspired-our-platform-events-architecture-2f351fe4cf63 https://wearecitizensadvice.org.uk/markets-dont-work-like-they-used-to-and-people-are-starting-to-notice-af00ed38014d https://towardsdatascience.com/python-basics-for-data-science-6a6c987f2755 Blockchain https://blog.bigchaindb.com/2018-the-year-for-data-driven-blockchains-1b8ce0b5f9 https://medium.com/@iotasuppoter/iota-real-world-use-cases-are-coming-ab1d8240cf09 https://hackernoon.com/build-a-cryptocurrency-price-tracker-in-5-minutes-d66c3d37ad71 https://medium.com/friendz/how-to-register-to-friendz-ico-8d02fe1975bc https://media.consensys.net/state-of-decentralized-exchanges-2018-276dad340c79 https://medium.com/@ryandonz/cryptocurrency-the-secret-to-profiting-from-the-most-volatile-market-in-the-world-via-asymmetric-3fd50e56405 https://hackernoon.com/a-crash-course-in-blockchain-and-crypto-6b6794f41814 https://medium.com/cryptomuse/the-unmasking-of-bitcoin-creator-satoshi-nakamoto-the-fallout-86102a3c60eb Personal Growth https://medium.com/@alltopstartups/how-to-teach-yourself-to-read-an-entire-book-in-a-single-day-485e35e28126 https://medium.com/swlh/i-sucked-at-writing-so-i-spent-a-month-writing-for-4-hours-a-day-dba37aa85585 https://medium.com/the-mission/how-to-discipline-your-mind-for-greater-success-e44d15a2a0ee https://medium.com/the-mission/today-is-the-first-day-of-your-life-a0c9e0b91d05 https://medium.com/swlh/how-to-disrupt-the-daily-grind-slipstreaming-your-dream-be0fae6fc04d https://medium.com/@dariusforoux/15-limiting-beliefs-that-are-holding-you-back-from-reaching-your-full-potential-adc795a4049 https://medium.com/swlh/this-expert-approach-will-prepare-you-for-any-interview-d8b62e3be03d https://medium.com/the-mission/when-you-love-yourself-first-life-will-take-care-of-the-rest-7e8c7e9b3097 https://medium.com/@RyanHoliday/the-moments-no-one-wants-to-experience-but-everyone-needs-to-succeed-c284273b3d59 Startup https://medium.com/@jc_70515/growth-hack-your-way-to-the-top-of-product-hunt-2f09e925cc06 https://medium.com/@zebulgar/how-to-raise-money-before-launch-a3544ef4dba6 https://medium.com/swlh/steps-to-validate-your-startup-idea-before-you-spend-any-even-1-43723781afd3 Misc https://medium.com/@jamesflight/critical-thinking-in-software-development-the-word-should-and-why-you-shouldn-t-listen-to-563090144331 https://www.simform.com/ecosystem-serverless-technologies/ https://medium.com/berkman-klein-center/the-american-museum-of-exploding-cars-and-toys-that-kill-you-5123f35cb271 https://towardsdatascience.com/16-useful-advices-for-aspiring-data-scientists-6da9afa8c72c

Week 5: Reading list & news to keep up-to-date with Javascript, Python, DevOps, Cloud, Serverless…

Hotshot is an online multi-player shooter game where players can make money by shooting each other in the game. Each time a player is shot in the game, in-game tokens are transferred from the balance/score of the play that was shot to the shooter’s balance/score. Fast transaction gaming (FTG) is a new form of play-to-earn (P2E) gaming involving rapid transactions between players. Player-to-player transactions are based on game events – such as a player being shot by another player. Hotshot’s first Alpha Play Day will be in November 2024 and will be announced imminently. Players can already register for the Alpha Play Day at https://www.hot-shot.io/ Hotshot is an online multi-player game of skill where each player can shoot other players to earn in-game tokens from them. Each time a player is shot in the game, tokens are transferred from the balance/score of the player that was shot to the shooter’s balance/score. Players can sign into the game by email or by signing in with their blockchain wallet.  To play Hotshot, players need to purchase in-game tokens, with each token representing the right to play. Players can purchase in-game tokens in standard amounts of USD $10, USD $20 and USD $50. In-game tokens can be purchased either by credit or debit card, or, by making a crypto asset transfer. Rapidfire plans to accept crypto asset payments on Ethereum, Polygon, Optimism, Arbitrum and Tron blockchains with the following tokens / base currencies ETH, USDT, USDC, MATIC, TRX, SHIB, LINK, OMG, DAI, BAT, UNI, MANA, SAND, AAVE, PEPE, GRT, APE, CHZ, SUSHI, FTM, 1INCH, STORJ, WBTC, IMX, ARB, OP, LPT. In Hotshot, players enter one of five playground maps to battle against up to 40 players in total. The battle begins - when a player shoots another player, the hit value of, for example, $1 is transferred from the shot player's balance to the shooter player's balance. Rapidfire Unicorn's patented Fast Transaction Gaming (FTG) systems enable new types of Play-to-Earn gaming with high earning potential for skilled gamers. Each available Game playground has an advertised hit value of either $1, $2 or $5 worth of in-game tokens. Players can take out their winnings, by redeeming their in-game ‘tokens’ for funds and withdrawing such funds from the Game to the credit/debit card or blockchain wallet used initially to purchase in-game tokens and the right to play. Hotshot can be played in any modern Web browser, both on PCs and on mobile devices. Hotshot will be available in most countries of the World. A spokesperson for Rapidfire Unicorn commented: "This is the advent of GigE Gaming. Fast Transaction Gaming (FTG) brings a new economic dimension to gaming. We cannot wait to see the reaction of gamers when they get to try Hotshot this November!" The first Alpha Play Day will be held in November. The actual date will be announced soon on Hotshot's social media channels. On Alpha Play Day, the first 300 players to play Hotshot will receive USD $20 worth of in-game tokens for free. Hotshot in-game tokens are redeemable for real cash or cryptocurrencies. Follow news about Hotshot on these social media channels: X: https://x.com/PlayHotshot Facebook: https://www.facebook.com/profile.php?id=61566622851528 Instagram: https://www.instagram.com/playhotshotgame TikTok: https://www.tiktok.com/@playhotshot Twitch: https://www.twitch.tv/playhotshot YouTube: https://www.youtube.com/@PlayHotshot Telegram: t.me/playhotshot LinkedIn: https://www.linkedin.com/company/rfuni/ Rapidfire Unicorn Web Site: https://www.rfuni.com/ Hotshot Game Web Site: https://www.hot-shot.io/ For further information please contact the Rapidfire Unicorn Press Office at https://www.rfuni.com/ About Rapidfire Unicorn Ltd. Rapidfire Unicorn Ltd. is a London-based games studio that develops games, gaming technology and intellectual property focused on fast transaction gaming (FTG). The team behind Rapidfire Unicorn spans from 1980s microcomputer game veterans through to modern online games designers that have been responsible for producing over 40 past games titles. This article is published under HackerNoon Business Blogging program. Do your own research before making any financial decisions. Hotshot is an online multi-player shooter game where players can make money by shooting each other in the game. Each time a player is shot in the game, in-game tokens are transferred from the balance/score of the play that was shot to the shooter’s balance/score. Fast transaction gaming (FTG) is a new form of play-to-earn (P2E) gaming involving rapid transactions between players. Player-to-player transactions are based on game events – such as a player being shot by another player. Hotshot’s first Alpha Play Day will be in November 2024 and will be announced imminently. Players can already register for the Alpha Play Day at https://www.hot-shot.io/ https://www.hot-shot.io/ https://www.hot-shot.io/ Hotshot is an online multi-player game of skill where each player can shoot other players to earn in-game tokens from them. Each time a player is shot in the game, tokens are transferred from the balance/score of the player that was shot to the shooter’s balance/score. Players can sign into the game by email or by signing in with their blockchain wallet.  To play Hotshot, players need to purchase in-game tokens, with each token representing the right to play. Players can purchase in-game tokens in standard amounts of USD $10, USD $20 and USD $50. In-game tokens can be purchased either by credit or debit card, or, by making a crypto asset transfer. Rapidfire plans to accept crypto asset payments on Ethereum, Polygon, Optimism, Arbitrum and Tron blockchains with the following tokens / base currencies ETH, USDT, USDC, MATIC, TRX, SHIB, LINK, OMG, DAI, BAT, UNI, MANA, SAND, AAVE, PEPE, GRT, APE, CHZ, SUSHI, FTM, 1INCH, STORJ, WBTC, IMX, ARB, OP, LPT. In Hotshot, players enter one of five playground maps to battle against up to 40 players in total. The battle begins - when a player shoots another player, the hit value of, for example, $1 is transferred from the shot player's balance to the shooter player's balance. Rapidfire Unicorn's patented Fast Transaction Gaming (FTG) systems enable new types of Play-to-Earn gaming with high earning potential for skilled gamers. Each available Game playground has an advertised hit value of either $1, $2 or $5 worth of in-game tokens. Players can take out their winnings, by redeeming their in-game ‘tokens’ for funds and withdrawing such funds from the Game to the credit/debit card or blockchain wallet used initially to purchase in-game tokens and the right to play. Hotshot can be played in any modern Web browser, both on PCs and on mobile devices. Hotshot will be available in most countries of the World. A spokesperson for Rapidfire Unicorn commented: "This is the advent of GigE Gaming. Fast Transaction Gaming (FTG) brings a new economic dimension to gaming. We cannot wait to see the reaction of gamers when they get to try Hotshot this November!" "This is the advent of GigE Gaming. Fast Transaction Gaming (FTG) brings a new economic dimension to gaming. We cannot wait to see the reaction of gamers when they get to try Hotshot this November!" The first Alpha Play Day will be held in November. The actual date will be announced soon on Hotshot's social media channels. On Alpha Play Day, the first 300 players to play Hotshot will receive USD $20 worth of in-game tokens for free. Hotshot in-game tokens are redeemable for real cash or cryptocurrencies. Follow news about Hotshot on these social media channels: Follow news about Hotshot on these social media channels: X: https://x.com/PlayHotshot https://x.com/PlayHotshot https://x.com/PlayHotshot Facebook: https://www.facebook.com/profile.php?id=61566622851528 https://www.facebook.com/profile.php?id=61566622851528 https://www.facebook.com/profile.php?id=61566622851528 Instagram: https://www.instagram.com/playhotshotgame https://www.instagram.com/playhotshotgame https://www.instagram.com/playhotshotgame TikTok: https://www.tiktok.com/@playhotshot https://www.tiktok.com/@playhotshot https://www.tiktok.com/@playhotshot Twitch: https://www.twitch.tv/playhotshot https://www.twitch.tv/playhotshot https://www.twitch.tv/playhotshot YouTube: https://www.youtube.com/@PlayHotshot https://www.youtube.com/@PlayHotshot https://www.youtube.com/@PlayHotshot Telegram: t.me/playhotshot t.me/playhotshot t.me/playhotshot LinkedIn: https://www.linkedin.com/company/rfuni/ https://www.linkedin.com/company/rfuni/ https://www.linkedin.com/company/rfuni/ Rapidfire Unicorn Web Site: https://www.rfuni.com/ https://www.rfuni.com/ https://www.rfuni.com/ Hotshot Game Web Site: https://www.hot-shot.io/ https://www.hot-shot.io/ https://www.hot-shot.io/ For further information please contact the Rapidfire Unicorn Press Office at https://www.rfuni.com/ For further information please contact the Rapidfire Unicorn Press Office at https://www.rfuni.com/ https://www.rfuni.com/ https://www.rfuni.com/ About Rapidfire Unicorn Ltd. About Rapidfire Unicorn Ltd. Rapidfire Unicorn Ltd. is a London-based games studio that develops games, gaming technology and intellectual property focused on fast transaction gaming (FTG). The team behind Rapidfire Unicorn spans from 1980s microcomputer game veterans through to modern online games designers that have been responsible for producing over 40 past games titles. This article is published under HackerNoon Business Blogging program. Do your own research before making any financial decisions. This article is published under HackerNoon Business Blogging program. Do your own research before making any financial decisions. Business Blogging Business Blogging

Rapidfire Unicorn reveals “Hotshot” Shoot-to-Earn PVP Game at GamesBeat NEXT Industry Event

Rapidfire Unicorn GamesBeat NEXT Industry Event-də “Hotshot” Shoot-to-Earn PVP Oyununu nümayiş etdirir

Rapidfire Unicorn revela el juego PvP de disparos para ganar “Hotshot” en el evento de la industria GamesBeat NEXT

Rapidfire Unicorn بازی «Hotshot» Shoot-to-Earn PVP را در رویداد صنعت GamesBeat NEXT معرفی کرد.

Rapidfire Unicorn revela o xogo PVP Shoot-to-Earn "Hotshot" no NEXT Industry Event de GamesBeat

Rapidfire Unicorn が GamesBeat NEXT 業界イベントで Shoot-to-Earn PVP ゲーム「Hotshot」を発表

Rapidfire Unicorn ເປີດເຜີຍ "Hotshot" ເກມຍິງເພື່ອຫາລາຍໄດ້ PVP ຢູ່ GamesBeat ເຫດການອຸດສາຫະກໍາຕໍ່ໄປ

Rapidfire Unicorn dia manambara ny lalao PVP Shoot-to-Earn "Hotshot" ao amin'ny GamesBeat NEXT Industry Event

Rapidfire Unicorn ujawnia grę PVP „Hotshot” Shoot-to-Earn na GamesBeat NEXT Industry Event

د ریپډ فایر یونیکورن د "هاټ شاټ" شوټ څخه ترلاسه کولو PVP لوبه په GamesBeat NEXT Industry Event کې ښکاره کوي

Rapidfire Unicorn zbulon lojën "Hotshot" Shoot-to-Earn PVP në GamesBeat NEXT Industry Event

Rapidfire Unicorn yi paluxa Ntlangu wa PVP wa “Hotshot” wo Duvula ku Hola eka GamesBeat NEXT Industry Event

Rapidfire Unicorn GamesBeat NEXT Industry Event-da "Hotshot" Shoot-to-Earn PVP o'yinini namoyish etadi.

Ukraine's Rapid Push to Deploy AI-Enabled Drones for Battlefield Supremacy

Deploying data science and machine learning applications often demands powerful computational resources. In this guide, You will learn about  the process of setting up GPU-enabled virtual servers on a Virtual Private Cloud (VPC) using Cloud services. By leveraging RAPIDS, an open-source suite of data science libraries developed by NVIDIA, you can harness the power of GPUs to accelerate your workflows. RAPIDS utilizes NVIDIA GPUs to provide high-performance data processing and machine learning capabilities, significantly reducing computation times. This post provides a step-by-step tutorial, from configuring your virtual servers to deploying RAPIDS, ensuring you have the necessary tools and knowledge to optimize your data processing tasks efficiently in a cloud environment. The GPU-enabled family of profiles provides on-demand, cost-effective access to NVIDIA GPUs. GPUs help to accelerate the processing time required for compute-intensive workloads, such as artificial intelligence (AI), machine learning, inferencing and more. To use the GPUs, you need the appropriate toolchain — such as CUDA (an acronym for Compute Unified Device Architecture) — ready. Let’s start with a simple question. What is a GPU and how is it different from CPU? Graphics processing units (GPUs) are becoming more prevalent as accelerated computing is rapidly changing the modern enterprise. They support new applications that are resource-demanding and provide new capabilities to gain valuable insights from customer data. Let’s quickly go over why you could use GPUs in the first place. By operating in a cloud environment, GPUs work in conjunction with a server’s CPU to accelerate application and processing performance. The CPU offloads compute-intensive portions of the application to the GPU, which processes large blocks of data at one time (rather than sequentially) to boost overall performance in a server environment. The following video covers the basics about GPUs, including the differences between a GPU and CPU, the top GPU applications (including industry examples) and why it’s beneficial to use GPUs on cloud infrastructure: What is RAPIDS? The RAPIDS suite of open-source software libraries and APIs give you the ability to execute end-to-end data science and analytics pipelines entirely on GPUs. RAPIDS utilizes NVIDIA CUDA primitives for low-level compute optimization and exposes GPU parallelism and high-bandwidth memory speed through user-friendly Python interfaces. Here are the features of RAPIDS as described on the NVIDIA developer website: Hassle-free integration: Accelerate your Python data-science toolchain with minimal code changes and no new tools to learn.
Top model accuracy: Increase machine-learning model accuracy by iterating on models faster and deploying them more frequently.
Reduced training time: Drastically improve your productivity with near-interactive data science.
Open source: Customizable, extensible, interoperable — the open-source software is supported by NVIDIA and built on Apache Arrow. How to provision a GPU-enabled VSI You will provision a virtual private cloud (VPC), a subnet, a security group with inbound and outbound rules and a virtual service instance (VSI) with a GPU-enabled profile using Terraform scripts with IBM Cloud Schematics. The RAPIDS, along with Docker, are configured via the VSI’s userdata field. VPC uses cloud-init technology to configure virtual server instances. The User Data field on the new virtual server for VPC page allows users to put in custom configuration options by using cloud-init. Cloud-init supports several formats for configuration data, including yaml in a cloud-config file. To understand more about Terraform and IBM Schematics, check this blog post: “ Provision Multiple Instances in a VPC Using Schematics.” In short, you can run any Terraform script just by simply pointing to the Git repository with the scripts. Note: You will need an IBM Cloud account with permissions to provision VPC resources. Check the getting started with VPC documentation. Navigate to Schematics Workspaces on IBM Cloud and click on Create workspace.


Under the Specify Template section, provide https://github.com/IBM-Cloud/vpc-tutorials/tree/master/vpc-gpu-vsi under GitHub or GitLab repository URL.


Select terraform_v0.14 as the Terraform version and click Next.


Provide the workspace name — vpc-gpu-rapids - and choose a resource group and location.


Click Next and then click Create.


You should see the Terraform variables section. Fill in the variables as per your requirement by clicking the action menu next to each of the variables: 7. Scroll to the top of the page to Generate (terraform plan) and Apply (terraform apply) the changes. 8. Click Apply plan and check the progress under the Log. (Generate plan is optional.) In the output of the log, you should see the IP_ADDRESS assigned to the VSI. Save the address for future reference. Test the setup Open a terminal. To test the setup, you need to SSH into the VSI with the below command: ssh -i ~/.ssh/<SSH_PRIVATE_KEY> root@<IP_ADDRESS> A working setup can be tested by running a base CUDA container: sudo docker run — rm — gpus all nvidia/cuda:11.0-base nvidia-smi The output should look similar to this: To check the NVIDIA driver version, run the below command: cat /proc/driver/nvidia/version Output: NVRM version: NVIDIA UNIX x86_64 Kernel Module 470.57.02 Tue Jul 13 16:14:05 UTC 2021

GCC version: gcc version 9.3.0 (Ubuntu 9.3.0–17ubuntu1~20.04) If you don’t see the expected output, check the troubleshooting section of the post. How to use RAPIDS The RAPIDS notebooks are one of the ways to explore the capabilities. These Jupyter notebooks provide examples of how to use RAPIDS. These notebooks are designed to be self-contained with the runtime version of the RAPIDS Docker Container. Run the below commands to pull a Docker image and run a container to explore RAPIDS: docker pull rapidsai/rapidsai:cuda11.0-runtime-ubuntu20.04 docker run — gpus all — rm -it -p 8888:8888 -p 8787:8787 -p 8786:8786 rapidsai/rapidsai:cuda11.0-runtime-ubuntu20.04 2. Launch a browser and enter your <IP_ADDRESS>:8888. 3. You should see the Jupyter notebook: 4. On the left pane, click on notebooks > cuml > tools and then launch the notebook. This notebook provides a simple and unified means of benchmarking single GPU cuML algorithms against their skLearn counterparts with the cuml.benchmark package in RAPIDS cuML. 5. As shown in the image above, click on the icon to launch the GPU dashboards. These dashboards provide a real-time visualization of NVIDIA GPU metrics in interactive Jupyter environments. 6. Click on GPU Resources and Machine Resources to launch the respective dashboards. 7. Run each code cell in the Jupyter notebook until you see the Nearest Neighbors — Brute Force cell. 8. Run the cell and check the metrics on the GPU resources and Machine Resources dashboard to understand the GPU utilization metrics and CPU metrics, respectively: Below the cell, you can check the CPU vs. GPU benchmark metrics. Troubleshooting To check the cloud-init logs, run the following command: cat /var/log/cloud-init-output.log If the install is configured successfully, you should see a message similar to this: _Cloud-init v. 21.2-3-g899bfaa9-0ubuntu2~20.04.1 running 'modules:final'_ _at Thu, 23 Sep 2021 08:51:11 +0000. Up 36.08 seconds._

_Cloud-init v. 21.2-3-g899bfaa9-0ubuntu2~20.04.1 finished at Thu, 23 Sep 2021 08:59:30 +0000. Datasource DataSourceNoCloud [seed=/dev/vdb][dsmode=net]. Up 534.16 seconds_ Related information RAPIDS getting started
Securely access remote instances with a bastion host If you have any queries, feel free to reach out to me on Twitter or on LinkedIn. Deploying data science and machine learning applications often demands powerful computational resources. In this guide, You will learn about  the process of setting up GPU-enabled virtual servers on a Virtual Private Cloud (VPC) using Cloud services. By leveraging RAPIDS, an open-source suite of data science libraries developed by NVIDIA, you can harness the power of GPUs to accelerate your workflows. RAPIDS utilizes NVIDIA GPUs to provide high-performance data processing and machine learning capabilities, significantly reducing computation times. This post provides a step-by-step tutorial, from configuring your virtual servers to deploying RAPIDS, ensuring you have the necessary tools and knowledge to optimize your data processing tasks efficiently in a cloud environment. The GPU-enabled family of profiles provides on-demand, cost-effective access to NVIDIA GPUs. GPUs help to accelerate the processing time required for compute-intensive workloads, such as artificial intelligence (AI) , machine learning , inferencing and more. To use the GPUs, you need the appropriate toolchain — such as CUDA (an acronym for Compute Unified Device Architecture) — ready. artificial intelligence (AI) machine learning Let’s start with a simple question. What is a GPU and how is it different from CPU? Graphics processing units (GPUs) are becoming more prevalent as accelerated computing is rapidly changing the modern enterprise. They support new applications that are resource-demanding and provide new capabilities to gain valuable insights from customer data. Let’s quickly go over why you could use GPUs in the first place. By operating in a cloud environment, GPUs work in conjunction with a server’s CPU to accelerate application and processing performance. The CPU offloads compute-intensive portions of the application to the GPU, which processes large blocks of data at one time (rather than sequentially) to boost overall performance in a server environment. The following video covers the basics about GPUs, including the differences between a GPU and CPU, the top GPU applications (including industry examples) and why it’s beneficial to use GPUs on cloud infrastructure: What is RAPIDS? The RAPIDS suite of open-source software libraries and APIs give you the ability to execute end-to-end data science and analytics pipelines entirely on GPUs. RAPIDS utilizes NVIDIA CUDA primitives for low-level compute optimization and exposes GPU parallelism and high-bandwidth memory speed through user-friendly Python interfaces. RAPIDS NVIDIA CUDA Python Here are the features of RAPIDS as described on the NVIDIA developer website: NVIDIA developer Hassle-free integration: Accelerate your Python data-science toolchain with minimal code changes and no new tools to learn. Top model accuracy: Increase machine-learning model accuracy by iterating on models faster and deploying them more frequently. Reduced training time: Drastically improve your productivity with near-interactive data science. Open source: Customizable, extensible, interoperable — the open-source software is supported by NVIDIA and built on Apache Arrow. Hassle-free integration : Accelerate your Python data-science toolchain with minimal code changes and no new tools to learn. Hassle-free integration Top model accuracy : Increase machine-learning model accuracy by iterating on models faster and deploying them more frequently. Top model accuracy machine-learning Reduced training time : Drastically improve your productivity with near-interactive data science. Reduced training time Open source : Customizable, extensible, interoperable — the open-source software is supported by NVIDIA and built on Apache Arrow. Open source How to provision a GPU-enabled VSI You will provision a virtual private cloud (VPC), a subnet, a security group with inbound and outbound rules and a virtual service instance (VSI) with a GPU-enabled profile using Terraform scripts with IBM Cloud Schematics . The RAPIDS, along with Docker, are configured via the VSI’s userdata field. IBM Cloud Schematics VPC uses cloud-init technology to configure virtual server instances. The User Data field on the new virtual server for VPC page allows users to put in custom configuration options by using cloud-init. Cloud-init supports several formats for configuration data, including yaml in a cloud-config file. User Data To understand more about Terraform and IBM Schematics, check this blog post: “ Provision Multiple Instances in a VPC Using Schematics .” In short, you can run any Terraform script just by simply pointing to the Git repository with the scripts. Provision Multiple Instances in a VPC Using Schematics Terraform Note: You will need an IBM Cloud account with permissions to provision VPC resources. Check the getting started with VPC documentation. Note: getting started with VPC Navigate to Schematics Workspaces on IBM Cloud and click on Create workspace. Under the Specify Template section, provide https://github.com/IBM-Cloud/vpc-tutorials/tree/master/vpc-gpu-vsi under GitHub or GitLab repository URL. Select terraform_v0.14 as the Terraform version and click Next. Provide the workspace name — vpc-gpu-rapids - and choose a resource group and location. Click Next and then click Create. You should see the Terraform variables section. Fill in the variables as per your requirement by clicking the action menu next to each of the variables: Navigate to Schematics Workspaces on IBM Cloud and click on Create workspace. Navigate to Schematics Workspaces on IBM Cloud and click on Create workspace. Schematics Workspaces Schematics Workspaces Create workspace. Under the Specify Template section, provide https://github.com/IBM-Cloud/vpc-tutorials/tree/master/vpc-gpu-vsi under GitHub or GitLab repository URL. Under the Specify Template section, provide https://github.com/IBM-Cloud/vpc-tutorials/tree/master/vpc-gpu-vsi under GitHub or GitLab repository URL . Specify Template https://github.com/IBM-Cloud/vpc-tutorials/tree/master/vpc-gpu-vsi GitHub or GitLab repository URL Select terraform_v0.14 as the Terraform version and click Next. Select terraform_v0.14 as the Terraform version and click Next. terraform_v0.14 Next. Provide the workspace name — vpc-gpu-rapids - and choose a resource group and location. Provide the workspace name — vpc-gpu-rapids - and choose a resource group and location. vpc-gpu-rapids Click Next and then click Create. Click Next and then click Create. Next Create. You should see the Terraform variables section. Fill in the variables as per your requirement by clicking the action menu next to each of the variables: You should see the Terraform variables section. Fill in the variables as per your requirement by clicking the action menu next to each of the variables: 7. Scroll to the top of the page to Generate (terraform plan) and Apply (terraform apply) the changes. Generate (terraform plan) Apply (terraform apply) 8. Click Apply plan and check the progress under the Log . (Generate plan is optional.) Apply plan Log In the output of the log, you should see the IP_ADDRESS assigned to the VSI. Save the address for future reference. IP_ADDRESS Test the setup Open a terminal. To test the setup, you need to SSH into the VSI with the below command: Open a terminal. To test the setup, you need to SSH into the VSI with the below command: ssh -i ~/.ssh/<SSH_PRIVATE_KEY> root@<IP_ADDRESS> ssh -i ~/.ssh/<SSH_PRIVATE_KEY> root@<IP_ADDRESS> A working setup can be tested by running a base CUDA container: A working setup can be tested by running a base CUDA container: sudo docker run — rm — gpus all nvidia/cuda:11.0-base nvidia-smi sudo docker run — rm — gpus all nvidia/cuda:11.0-base nvidia-smi The output should look similar to this: To check the NVIDIA driver version, run the below command: To check the NVIDIA driver version, run the below command: cat /proc/driver/nvidia/version cat /proc/driver/nvidia/version Output: NVRM version: NVIDIA UNIX x86_64 Kernel Module 470.57.02 Tue Jul 13 16:14:05 UTC 2021

GCC version: gcc version 9.3.0 (Ubuntu 9.3.0–17ubuntu1~20.04) NVRM version: NVIDIA UNIX x86_64 Kernel Module 470.57.02 Tue Jul 13 16:14:05 UTC 2021

GCC version: gcc version 9.3.0 (Ubuntu 9.3.0–17ubuntu1~20.04) If you don’t see the expected output, check the troubleshooting section of the post. How to use RAPIDS The RAPIDS notebooks are one of the ways to explore the capabilities. These Jupyter notebooks provide examples of how to use RAPIDS. These notebooks are designed to be self-contained with the runtime version of the RAPIDS Docker Container . RAPIDS notebooks RAPIDS Docker Container Run the below commands to pull a Docker image and run a container to explore RAPIDS: Run the below commands to pull a Docker image and run a container to explore RAPIDS: docker pull rapidsai/rapidsai:cuda11.0-runtime-ubuntu20.04 docker pull rapidsai/rapidsai:cuda11.0-runtime-ubuntu20.04 docker run — gpus all — rm -it -p 8888:8888 -p 8787:8787 -p 8786:8786 rapidsai/rapidsai:cuda11.0-runtime-ubuntu20.04 docker run — gpus all — rm -it -p 8888:8888 -p 8787:8787 -p 8786:8786 rapidsai/rapidsai:cuda11.0-runtime-ubuntu20.04 2. Launch a browser and enter your <IP_ADDRESS>:8888 . <IP_ADDRESS>:8888 3. You should see the Jupyter notebook: 4. On the left pane, click on notebooks > cuml > tools and then launch the notebook. This notebook provides a simple and unified means of benchmarking single GPU cuML algorithms against their skLearn counterparts with the cuml.benchmark package in RAPIDS cuML. notebooks cuml tools 5. As shown in the image above, click on the icon to launch the GPU dashboards. These dashboards provide a real-time visualization of NVIDIA GPU metrics in interactive Jupyter environments. GPU dashboards. 6. Click on GPU Resources and Machine Resources to launch the respective dashboards. GPU Resources Machine Resources 7. Run each code cell in the Jupyter notebook until you see the Nearest Neighbors — Brute Force cell. Nearest Neighbors — Brute Force 8. Run the cell and check the metrics on the GPU resources and Machine Resources dashboard to understand the GPU utilization metrics and CPU metrics, respectively: Below the cell, you can check the CPU vs. GPU benchmark metrics. Troubleshooting To check the cloud-init logs, run the following command: cat /var/log/cloud-init-output.log cat /var/log/cloud-init-output.log If the install is configured successfully, you should see a message similar to this: _Cloud-init v. 21.2-3-g899bfaa9-0ubuntu2~20.04.1 running 'modules:final'_ _at Thu, 23 Sep 2021 08:51:11 +0000. Up 36.08 seconds._

_Cloud-init v. 21.2-3-g899bfaa9-0ubuntu2~20.04.1 finished at Thu, 23 Sep 2021 08:59:30 +0000. Datasource DataSourceNoCloud [seed=/dev/vdb][dsmode=net]. Up 534.16 seconds_ _Cloud-init v. 21.2-3-g899bfaa9-0ubuntu2~20.04.1 running 'modules:final'_ _at Thu, 23 Sep 2021 08:51:11 +0000. Up 36.08 seconds._

_Cloud-init v. 21.2-3-g899bfaa9-0ubuntu2~20.04.1 finished at Thu, 23 Sep 2021 08:59:30 +0000. Datasource DataSourceNoCloud [seed=/dev/vdb][dsmode=net]. Up 534.16 seconds_ Related information RAPIDS getting started Securely access remote instances with a bastion host RAPIDS getting started RAPIDS getting started Securely access remote instances with a bastion host Securely access remote instances with a bastion host If you have any queries, feel free to reach out to me on Twitter or on LinkedIn. If you have any queries, feel free to reach out to me on Twitter or on LinkedIn . Twitter LinkedIn

How to Deploy RAPIDs on GPU-Enabled Private Cloud

You can jump to any part of the United States International Cyberspace & Digital Policy Strategy here. This part is 37 of 38. Line of Effort 3: Develop New Tools to Deliver Digital and Cyber Assistance Quickly and Efficiently The demand for cybersecurity and cybercrime assistance, in particular cyber defense, incident response, and skills to combat criminal misuse of cryptocurrency, is growing in scale. After cyberattacks against Ukraine, Costa Rica, and Albania, the United States and its allies shared threat intelligence; facilitated operational collaboration; enabled access to commercial cybersecurity companies’ services, including hardware, software, and embedded technical support; and funded longer term capacity building. From these and other cases, the State Department has learned the importance of regular and close coordination across the U.S. government and with international partners, as well as the importance of mobilizing private-sector technology and expertise. Modernizing authorities and mechanisms to provide technology-related foreign assistance at the speed and scale necessary is crucial. We must adapt our foreign assistance resources and authorities to support long-term U.S. leadership and foster digital solidarity. Recognizing the urgent and growing need for additional tools to advance U.S. cyber and digital foreign policy, Congress created, through the Department of State Authorization Act of 2023 and funded, through the Department of State, Foreign Operations, and Related Program Appropriations Act, 2024, the Cyberspace, Digital Connectivity, and Related Technologies Fund. This fund will provide the Department of State with authorities and dedicated funding to support strategically important cyber, digital, and technology-related foreign assistance programs. This is a significant step in advancing U.S. foreign policy. The Department will work to operationalize and implement these new authorities. Continue Reading Here. This post was originally published on May 6, 2024, by the U.S Department of State You can jump to any part of the United States International Cyberspace & Digital Policy Strategy here. This part is 37 of 38. You can jump to any part of the United States International Cyberspace & Digital Policy Strategy here . This part is 37 of 38. here here Line of Effort 3: Develop New Tools to Deliver Digital and Cyber Assistance Quickly and Efficiently The demand for cybersecurity and cybercrime assistance, in particular cyber defense, incident response, and skills to combat criminal misuse of cryptocurrency, is growing in scale. After cyberattacks against Ukraine, Costa Rica, and Albania, the United States and its allies shared threat intelligence; facilitated operational collaboration; enabled access to commercial cybersecurity companies’ services, including hardware, software, and embedded technical support; and funded longer term capacity building. From these and other cases, the State Department has learned the importance of regular and close coordination across the U.S. government and with international partners, as well as the importance of mobilizing private-sector technology and expertise. Modernizing authorities and mechanisms to provide technology-related foreign assistance at the speed and scale necessary is crucial. We must adapt our foreign assistance resources and authorities to support long-term U.S. leadership and foster digital solidarity. Recognizing the urgent and growing need for additional tools to advance U.S. cyber and digital foreign policy, Congress created, through the Department of State Authorization Act of 2023 and funded, through the Department of State, Foreign Operations, and Related Program Appropriations Act, 2024, the Cyberspace, Digital Connectivity, and Related Technologies Fund. This fund will provide the Department of State with authorities and dedicated funding to support strategically important cyber, digital, and technology-related foreign assistance programs. This is a significant step in advancing U.S. foreign policy. The Department will work to operationalize and implement these new authorities. Continue Reading Here. Continue Reading Here . Here This post was originally published on May 6, 2024, by the U.S Department of State This post was originally published on May 6, 2024, by the U.S Department of State by the U.S Department of State by the U.S Department of State

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Table of Links Abstract and 1. Introduction 2 The Original GPT4All Model 2.1 Data Collection and Curation 2.2 Model Training, 2.3 Model Access and 2.4 Model Evaluation 3 From a Model to an Ecosystem 3.1 GPT4All-J: Repository Growth and the implications of the LLaMA License 3.2 GPT4All-Snoozy: the Emergence of the GPT4All Ecosystem 3.3 The Current State of GPT4All 4 The Future of GPT4All Limitations and References 3 From a Model to an Ecosystem 3.1 GPT4All-J: Repository Growth and the implications of the LLaMA License The GPT4All repository grew rapidly after its release, gaining over 20000 GitHub stars in just one week, as shown in Figure 2. This growth was supported by an in-person hackathon hosted in New York City three days after the model release, which attracted several hundred participants. As the Nomic discord, the home of online discussion about GPT4All, ballooned to over 10000 people, one thing became very clear - there was massive demand for a model that could be used commercially. The LLaMA model that GPT4All was based on was licensed for research only, which severely limited the set of domains that GPT4All could be applied in. As a response to this, the Nomic team repeated the model training procedure of the original GPT4All model, but based on the already open source and commercially licensed GPT-J model (Wang and Komatsuzaki, 2021). GPT4All-J also had an augmented training set, which contained multi-turn QA examples and creative writing such as poetry, rap, and short stories. The creative writing prompts were generated by filling in schemas such as "Write a [CREATIVE STORY TYPE] about [NOUN] in the style of [PERSON]." We again employed Atlas to curate the prompt-response pairs in this data set. Our evaluation methodology also evolved as the project grew. In particular, we began evaluating GPT4All models using a suite of seven reasoning tasks that were used for evaluation of the Databricks Dolly (Conover et al., 2023b) model, which was released on April 12, 2023. Unfortunately, GPT4All-J did not outperform other prominent open source models on this evaluation. As a result, we endeavoured to create a model that did. This paper is available on arxiv under CC BY 4.0 DEED license. Authors:
(1) Yuvanesh Anand, Nomic AI, yuvanesh@nomic.ai;
(2) Zach Nussbaum, Nomic AI, zach@nomic.ai;
(3) Adam Treat, Nomic AI, adam@nomic.ai;
(4) Aaron Miller, Nomic AI, aaron@nomic.ai;
(5) Richard Guo, Nomic AI, richard@nomic.ai;
(6) Ben Schmidt, Nomic AI, ben@nomic.ai;
(7) GPT4All Community, Planet Earth;
(8) Brandon Duderstadt, Nomic AI, brandon@nomic.ai with Shared Senior Authorship;
(9) Andriy Mulyar, Nomic AI, andriy@nomic.ai with Shared Senior Authorship. Table of Links Abstract and 1. Introduction Abstract and 1. Introduction 2 The Original GPT4All Model 2 The Original GPT4All Model 2.1 Data Collection and Curation 2.2 Model Training, 2.3 Model Access and 2.4 Model Evaluation 2.2 Model Training, 2.3 Model Access and 2.4 Model Evaluation 3 From a Model to an Ecosystem 3.1 GPT4All-J: Repository Growth and the implications of the LLaMA License 3.1 GPT4All-J: Repository Growth and the implications of the LLaMA License 3.2 GPT4All-Snoozy: the Emergence of the GPT4All Ecosystem 3.2 GPT4All-Snoozy: the Emergence of the GPT4All Ecosystem 3.3 The Current State of GPT4All 3.3 The Current State of GPT4All 4 The Future of GPT4All 4 The Future of GPT4All Limitations and References Limitations and References 3 From a Model to an Ecosystem 3.1 GPT4All-J: Repository Growth and the implications of the LLaMA License The GPT4All repository grew rapidly after its release, gaining over 20000 GitHub stars in just one week, as shown in Figure 2. This growth was supported by an in-person hackathon hosted in New York City three days after the model release, which attracted several hundred participants. As the Nomic discord, the home of online discussion about GPT4All, ballooned to over 10000 people, one thing became very clear - there was massive demand for a model that could be used commercially. The LLaMA model that GPT4All was based on was licensed for research only, which severely limited the set of domains that GPT4All could be applied in. As a response to this, the Nomic team repeated the model training procedure of the original GPT4All model, but based on the already open source and commercially licensed GPT-J model (Wang and Komatsuzaki, 2021). GPT4All-J also had an augmented training set, which contained multi-turn QA examples and creative writing such as poetry, rap, and short stories. The creative writing prompts were generated by filling in schemas such as "Write a [CREATIVE STORY TYPE] about [NOUN] in the style of [PERSON]." We again employed Atlas to curate the prompt-response pairs in this data set. Our evaluation methodology also evolved as the project grew. In particular, we began evaluating GPT4All models using a suite of seven reasoning tasks that were used for evaluation of the Databricks Dolly (Conover et al., 2023b) model, which was released on April 12, 2023. Unfortunately, GPT4All-J did not outperform other prominent open source models on this evaluation. As a result, we endeavoured to create a model that did. This paper is available on arxiv under CC BY 4.0 DEED license. This paper is available on arxiv under CC BY 4.0 DEED license. available on arxiv Authors: (1) Yuvanesh Anand, Nomic AI, yuvanesh@nomic.ai; (2) Zach Nussbaum, Nomic AI, zach@nomic.ai; (3) Adam Treat, Nomic AI, adam@nomic.ai; (4) Aaron Miller, Nomic AI, aaron@nomic.ai; (5) Richard Guo, Nomic AI, richard@nomic.ai; (6) Ben Schmidt, Nomic AI, ben@nomic.ai; (7) GPT4All Community, Planet Earth; (8) Brandon Duderstadt, Nomic AI, brandon@nomic.ai with Shared Senior Authorship; (9) Andriy Mulyar, Nomic AI, andriy@nomic.ai with Shared Senior Authorship. Authors: Authors: (1) Yuvanesh Anand, Nomic AI, yuvanesh@nomic.ai; (2) Zach Nussbaum, Nomic AI, zach@nomic.ai; (3) Adam Treat, Nomic AI, adam@nomic.ai; (4) Aaron Miller, Nomic AI, aaron@nomic.ai; (5) Richard Guo, Nomic AI, richard@nomic.ai; (6) Ben Schmidt, Nomic AI, ben@nomic.ai; (7) GPT4All Community, Planet Earth; (8) Brandon Duderstadt, Nomic AI, brandon@nomic.ai with Shared Senior Authorship; (9) Andriy Mulyar, Nomic AI, andriy@nomic.ai with Shared Senior Authorship.

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