HomeBusinessNvidia is not on the list)

Nvidia is not on the list)

It is almost impossible to read or listen to anything even remotely related to artificial intelligence (AI). not find a reference to Nvidia. The company’s graphics processing unit (GPU) chipsets are perhaps the most important piece of architecture used in generative AI.

Don’t you believe me? Industry research shows that Nvidia had 98% of GPU shipments over the past two years; Meanwhile, Jon Peddie Research estimates that Nvidia owns 88% of the GPU market. With a statistic like this, is it fair to say that Nvidia is the best AI option out there? Maybe.

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But considering Nvidia’s stock is up more than 800% in the last two years, I’m inclined to think the music will slow down at some point. Below I’m going to outline two AI capabilities that I think will break out in the coming years and give Nvidia a run for its money. Let’s dig in!

The first company on my list of the best AI stocks is Advanced micro devices (NASDAQ: AMD). Over the past few years, AMD has been regularly compared to Nvidia – a comparison that I don’t think is exactly apples-to-apples.

Since the start of the AI ​​boom, Nvidia’s main source of growth has come from its H100 and H200 GPUs. As I mentioned above, Nvidia’s one-two punch GPU architecture has helped the company capture almost the entire market. While Nvidia’s computing and networking products are indeed quite powerful, one thing that also helped the company gain such a huge lead in the market was a lack of competition.

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AMD has been quietly building its own GPU empire over the past year, but it’s not nearly as big as Nvidia’s. In my view, that could change quickly. AMD’s answer to Nvidia’s H100 and H200 GPU combination is its own chip accelerator called MI300. When the MI300 launched earlier this year, AMD management was targeting sales of around $2 billion. But during the company’s third-quarter earnings call a few weeks ago, AMD CEO Lisa Su hinted that the MI300 is scaling so quickly that the company’s data center GPU business is now on track for $5 billion in revenue this year.

The best part about this is that many of AMD’s major customers adopting the MI300 architecture are also Nvidia customers. When you add in the fact that more than $1 trillion could be spent on AI infrastructure in the coming years, AMD appears well-positioned to continue capturing incremental market share as it scales up its data center GPU business.

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