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

You don’t believe me? Industry research suggests that Nvidia held 98% of GPU shipments over the past two years; Meanwhile, Jon Peddie Research estimates that Nvidia has 88% of the GPU market. With a stat line like this, is it fair to say that Nvidia is the better opportunity in AI? Maybe.

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But given that Nvidia’s stock has gained more than 800% in the past two years, I tend to think the music is going to slow down at some point. Below, I’ll outline two AI opportunities that I think are poised to expand over the next few years and give Nvidia a run for its money. Let’s dig!

The first company on my list of top AI stocks is Advanced microdevices (NASDAQ:AMD). Over the past couple of years, AMD has been frequently compared to Nvidia – a comparison that I don’t find particularly comparable.

Since the dawn 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 GPU architecture has helped the company capture almost the entire market. Although Nvidia’s computing and networking products are indeed quite powerful, the lack of competition has also helped the company gain such a lead in the market.

AMD has quietly built its own GPU empire over the past year, but it’s nowhere near the size of Nvidia’s. In my eyes, this could soon change. AMD’s answer to Nvidia’s H100 and H200 GPU combo is its own chip accelerator dubbed the MI300. When the MI300 launched earlier this year, AMD management projected revenue of around $2 billion. But during the company’s third-quarter earnings conference call a few weeks ago, AMD CEO Lisa Su suggested that the MI300 is evolving so quickly that the company’s data center GPU business company is now on track to generate $5 billion in revenue this year.

The best part is that many of AMD’s major customers adopting the MI300 architecture are also Nvidia customers. Add to that the fact that there could be more than $1 trillion in AI infrastructure spending over the next few years, and AMD appears well-positioned to continue to capture additional market share as it expands the operation of GPUs in its data center.