The Company Behind This $10,000 Artificial Intelligence Chip Just Flashed a Buy Signal Since ChatGPT launched in November 2022, we've learned a few things about its capabilities: It passed an exam at the University of Pennsylvania's Wharton School of Business, earning a grade worthy of a B or B-. Someone used it to write and publish a children's book in 72 hours. Buzzfeed Inc. (BZFD) announced in January that it was going to have ChatGPT create quizzes and write “listicles,” which consequently sent the stock price up more than 100% in a day. With an estimated 100 million users as of January, ChatGPT is sure to bring us even more interesting examples of its creative potential. But being a natural tinkerer — someone who would take apart toy race cars as a kid and modify them to try to get them to go faster — I have always felt the need to know how things work and what is “under the hood.” So, while most people are fascinated by what ChatGPT can do, I'm more interested in HOW it can do something like help someone write an entire book… and what connected AI investment opportunities exist. The answer to both questions lies within a $10,000 artificial intelligence chip called the A100. This chip allows things like AI image generators and chatbots to produce content — and the companies creating these generative AI models need hundreds or thousands of these chips from the company I'm about to share with you. According to our Health Indicator, this company just triggered a buy signal, entering the Green Zone on Feb. 21. Here's everything you need to know. RECOMMENDED LINK Must-See: Scientific Breakthrough Meets Investment Software Our group of elite data scientists just finished an 11 year, $18 million study... And the results are shocking. We found that every stock has its own unique DNA... And you can use it to predict a stock's behavior with incredible accuracy. So far we've mapped out the genetic code of over 50,000 stocks and funds... You can get access to our entire "Stock DNA" database right now. Click here to see how The Firepower Behind AI Expansion Nvidia Corp. (NVDA) was founded in 1993 with the vision to bring 3D graphics to the gaming market. Fast forward to today and it has fulfilled and surpassed that vision, creating graphics processing units (GPUs) to power cryptocurrency mining and gaming as well as chip systems for robotics, vehicles, and other tools. And as you may have guessed, Nvidia is the company that sells the $10,000 A100 chip. It also sells the DGX A100, which is eight A100 GPUs working together. The DGX A100 has a suggested price of $200,000, and research firm New Street Research estimates that the ChatGPT model inside the search engine Bing (owned by Microsoft Corp. [MSFT]) could need eight GPUs to answer a question in less than a second. In order for Bing to provide this service to all of its users, it would require more than 20,000 8-GPU servers, which could cost Microsoft $4 billion. The investment bank Citigroup projects that ChatGPT usage alone could bring Nvidia $3 billion to $11 billion in sales by the end of 2023. Nvidia also isn't resting on its victories with the A100. It began producing the H100 in September 2022, which offers up to 30 times better performance for AI workloads than the A100. RECOMMENDED LINK Biden To Unleash "Choke Point" Operation On America? Biden's disturbing new government program may be worse than Obama's. You are at risk of having your bank account frozen. A former bank regulator is blowing the whistle on Biden's frightening plan to take over your money. Discover the immediate steps you need to take now Putting It All Together NVDA triggered an Entry Signal on Feb. 21, suggesting that now is the time to make an investment. In addition, NVDA has earned a favorable ranking from our brand-new TradeSmith Business Quality Score, which ranks every company based on a composite of four broad quality metrics: Growth: This metric measures changes in a company's metrics such as sales, profit, return on equity (ROE), return on assets (ROA), and cash flow over the past five years. Profitability: This metric measures a company's current level of profitability relative to its assets, sales, and shareholder equity. Safety: This metric measures a company's financial strength (debt burden, credit risk, etc.) and its stock's historical volatility versus the overall market. Payout: This metric measures how much of what a company earns benefits shareholders via dividends, net share buybacks, and debt repayment. Our algorithms first calculate the current quality score for each stock compared to its history and all other stocks in our database. They then average those scores for each stock and rank them from the highest quality (100) to the lowest quality (0). Nvidia has a stellar score of 91. Bottom line: Nvidia has 95% of the market share for graphic processors that can be used for machine learning, and it's a company that has shown it knows how to innovate to keep up with what's next. With an Entry Signal triggered a little over a week ago, backed up with a Business Quality Score of 91, our tools and systems are saying that now is the time to buy NVDA. Enjoy your Thursday, Keith Kaplan CEO, TradeSmith Take a Closer Look With the advancement of labor-saving technology, economist John Maynard Keynes predicted in 1930 that his grandchildren might only need to work 15 hours a week. That hasn't become a reality for most people, but what is becoming a reality is time-saving technology, like artificial intelligence (AI), turning people into more effective traders. Think about it. If you spent two hours every day researching the stock market… That's 14 hours a week… More than 40 hours in three weeks… And between 60 and 62 hours a month. That's the equivalent of working a full-time job and having 20 or more hours of overtime added on top of it. Whether you are still working, closing in on retirement, or retired, you obviously don't want to feel like you are taking on a full-time job by having to keep constant track of the whipsaw markets each and every day. Instead, people are tapping into the type of time-saving technology that advanced algorithmic systems can offer. Like finding specific “codes” for every publicly traded stock. Finding the patterns… Movements… And repetitions… That can finally give you the information you need to decide if you should hold that stock, buy it, or sell it. These codes warned of an imminent downturn for many stocks on Feb. 27, 2020 — just before the COVID-19 crash. Using them would've allowed you to outperform Warren Buffett over a 20-year span, according to backtests. Using them could've made you five times richer than being a client of famous hedge fund Greenlight Capital, known for its 26% average annual return. And documented backtests show gains of 3,024% on HIVE… 3,713% on RIOT… 1,429% on MARA… 569% on PACB… and so many more. The best thing of all is that you don't have to know how coding or algorithms work. You just need to make sure you are valuing your time and wanting profit opportunities to be at the tips of your fingers. More Investable Information at Your Fingertips TradeSmith's 2023 Guide to Beating Inflation Bitcoin Is Far from Dead (Here's Proof) This Could Be the Amazon of Gene-Editing Stocks Electric Vehicles Passed This 5% Tipping Point – Here Are 2 Investments to Make Customer Support: 866.385.2076 |  support@tradesmith.com Mailbag Questions ©TradeSmith, LLC. All Rights Reserved. You may not reproduce, modify, copy, sell, publish, distribute, display or otherwise use any portion of the content without the prior written consent of TradeSmith. TradeSmith is not registered as an investment adviser and operates under the publishers' exemption of the Investment Advisers Act of 1940. The investments and strategies discussed in TradeSmith's content do not constitute personalized investment advice. 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