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4 stocks of AI chip without brain to buy immediately


Spend on Artificial intelligence (AI) Infrastructure will see a big boost this year, which will undoubtedly help numerous semiconductor stocks with AI chips.

For example, a large three cloud computing Companies – Amazon,, Microsoftand Alphabet – This year, it budgetly budgetary $ 255 billion in growth of capital expenditures (Capex), mostly associated with AI infrastructure, this year. Meanwhile, Meta platform He announced that he would spend up to $ 65 billion on AI infrastructure. Not to be exaggerated, consortium of companies led by Japan Softbank Openai also committed to spend $ 500 billion on AI infrastructure in the US over the next few years through Project Stargate.

Let’s look at AI chip companies that set up advantages.

Nvidia (NASDAQ: NVDA) It is a leader in graphic processing units (GPU), which are the main chips used in AI training and concluding because of its superior processing speeds. The chips are originally designed to accelerate the display of graphics in video games. But later the company released customers programming chips for other tasks through its miracle software program. Today, through its miracle X platform, which was built at the top of the miracles, it offers GPU-accepted microservise and libraries designed especially for AI.

The miracle helped to provide Nvidia customers with superior experience and created a wide ditch for the company. This can be seen in its approximately 90% of the market share in the GPU space. As such, the company is ready to be one of the biggest winners from increased consumption of AI infrastructure.

In addition, the shares are attractive prices, trade in forward price and earnings (P/e) of 25 times 2025 Analyst Assessment and price/earnings-RAST (PEG) of 0.5, with PEGs under 1 underrated.

While Nvidia is a leader in the Mass merchant GPU, Broadco (Nasdaq: Avgo) He became a leader in helping customers to design their custom AI chips. Although these integrated circuits specific to app or ASICs do not have GPU flexibility, they generally have better performance and more effective energy consumption for the specific task they are designed for.

Broadcom’s first customer AI chipa was an alphabet because he helped him design his tension processing unit (TPU) called Trillium. Since then, he has added other customers believed to include the target of platforms, Bytetenedndance, open and in recent times, Apple. Broadca noted that only his three best customers could arrange up to a million AI chips in 2027, which represents revenue of $ 60 billion to $ 90 billion in 2027. While Nvidia is likely to get a nice part of this revenue with her GPU, Broadcu also has a huge opportunity.



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