4 No-Brainer AI Chip Stocks to Buy Right Now

MT HANNACH
9 Min Read
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Spend Artificial Intelligence (AI) The infrastructure should see a big boost this year, which will undoubtedly help a certain number of semiconductor stocks with links with AI fleas.

For example, the three large Cloud Computing Companies – Amazon,, MicrosoftAnd Alphabet – Budgetized a budget of $ 255 billion in growth capital expenditure (CAPEX), largely linked to the infrastructure of IA this year. In the meantime, Meta-platforms announced that it would spend up to $ 65 billion for IA infrastructure. In order not to be outdone, a consortium of companies led by Japan Flexible bank And Openai is committed to spending $ 500 billion in AI infrastructure in the United States in the coming years through the Stargate project.

Let’s examine the AI ​​flea companies to take advantage of the advantages.

Nvidia (Nasdaq: NVDA) is the leader in graphic processing units (GPU), which are the main chips used in AI training and inference because of their higher treatment speeds. The chips were initially designed to help accelerate the graphics rendering in video games. But later, the company allowed customers to program fleas for other tasks via its CUDA software. Today, via its Cuda X platform, which has been built on Cuda, it offers microservices and libraries accelerated by the GPU specially designed for AI.

Cuda has helped offer Nvidia customers a higher experience and has created a large gap for the company. This can be seen in its market share of around 90% in the GPU area. As such, the company is about to be one of the largest winners of the increase in IA infrastructure expenses.

In addition, the action is at an attractive price, negotiating a price / profits ratio (P / E) in the long term the estimates of analysts 2025 and a price / benefit for growth (PEG) 0.5, with ankles less than 1 considered to be undervalued.

While Nvidia is the leader of mass merchant GPUs, Broadcom (Nasdaq: Avgo) has become the leader to help customers design their own personalized AI chips. Although these integrated circuits specific to application, or ASICS, will not have the flexibility of GPUs, they generally have better performance and more efficient energy consumption for the specific task for which they have been designed.

Broadcom’s first Puce Ai Puce Customer was the alphabet, as he helped him design his tensor treatment unit (TPU) called Trillium. Since then, he has added other customers who include meta-platforms, Bytedance, Openai and, more recently, Apple. Broadcom noted that its three best customers could deploy up to 1 million IA chips in 2027, which represents a income opportunity from 60 billion to $ 90 billion in 2027. Although Nvidia probably gets a good income with Its GPUs, Broadcom also has a huge opportunity too.

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