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Amazon.com, Inc. (AMZN) Increases Ai infrastructure with Aws Trainium2 and Titan chips

https://www.profitableratecpm.com/h3thxini?key=b300c954a3ef8178481db9f902561915


We recently published a list of 10 stocks AI that will shoot. In this article, let’s take a look at where Amazon.com, Inc. (Nasdaq: Amzn) It is against other AI stocks that will shoot.

AI (artificial intelligence) is no longer just a keyword: it is to turn in part of our daily lives, from the applications we use to the operation of companies. For investors, this means opportunity. As the AI ​​continues to grow, some companies lead the post and show real potential for long -term gains. Whether you want to diversify your portfolio or take advantage of the future of technology, this article will make you go through some of the best stocks in the AI ​​is worth seeing right now. The AI ​​stocks experienced incredible gains over the last two years, especially in 2024, when AI applications increased. The current weakness in AI stocks, caused by geopolitical tensions, can be a good opportunity to load in AI stocks.

In an interview with CNBC, CEO and CIO of Ark Invest, Cathie Wood, emphasized his bull in the AI ​​sector despite recent weakness in these stocks. According to Wood, Ai has a massive track. She compared the current position of the IA with the Internet in the mid -1990’s. The wood is optimistic about short -term robotax and the application of long -term humanoid robots. However, the less appreciated application of the AI, according to Wood, is health, as IA will accelerate the healing of diseases. Within the AI ​​medical application, Cathie Wood is especially bullish in sequencing technology, which is used to read DNA. AI is a great application in sequencing, as it helps to analyze, interpret and act on this genetic data much faster and more precisely than traditional methods.

A segment inside the AI ​​that is hot right now is a generative AI. The AI ​​generates personalized answers for the user based on real underlying data. Gen Ai has created a mass cycle of investments of more than $ 200 million a year, led by the “magnificent 7”. Technological behemoths compete intensely on the leadership of the AI ​​gene. In the meantime, a nearby AI subject focuses on the way large language models (LLMS). According to Morgan Stanley, major LLM companies in advance prioritize high -performance chips and top -notch software to provide AI solutions that are essential for both companies and consumers. Although the initial cases of use of LLM mainly included creation, summary and content creation, industry leaders believe that the greatest opportunity still to be carried out is the application of AI reasoning to business data.



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