Is Nvidia Stock a Buy Now?

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With its stock up nearly 190% year to date and up nearly 2,830% in the past five years, investors may be wondering if Nvidia (NASDAQ: NVDA) is still a buy right now after these huge gains. The gains have powered it to become the second-largest company in the world by market cap.

Nvidia has clearly been riding the artificial intelligence (AI) wave, but here are four reasons the stock still looks like a buy today even after its strong performance.

1. AI's buildout is still in the early innings

The biggest bull case for Nvidia is that despite the insane demand the company has been seeing for its graphics processing units (GPUs) to help create AI infrastructure, it appears the AI buildout is still in the early innings of what is expected to be a long game. Major tech companies and well-funded AI start-ups, such as OpenAI and Elon Musk's xAI, have been pouring money into building AI-focused data centers to help train large language models (LLMs) and run AI inference.

This can be seen in the rising capital expenditure (capex) budgets of major tech companies and management's comments about future spending. For example, Alphabet and Meta Platforms have both indicated that the biggest risk with their AI spending is not overspending but underinvesting, while Oracle has said it sees no end in sight for AI infrastructure spending over the next five to 10 years.

Meanwhile, Microsoft's finance leases that have been contracted out but not commenced (by and large for AI data centers) have more than tripled in the past year to a whopping $108.4 billion.

AI models need exponentially more computing power to train as they advance and become more sophisticated. For example, Alphabet has said its Llama 4 LLM would need up to 10 times the computing power as its prior version, while xAI's Grok 3 used five times as many GPUs to train as Grok 2.

All of this points to the increasing need for GPUs, the area in which Nvidia has become the dominant leader.

Artist rendering of AI chip.
Image source: Getty Images.

2. Nvidia is the market share leader

While the need for GPUs looks like it will continue unabated, Nvidia isn't the only company that can produce AI chips. Advanced Micro Devices also makes GPUs, while a few companies, such as Broadcom, help companies develop custom AI chips for their specific needs.

However, Nvidia has become the clear leader in the space with an over 80% market share. This comes not only from its strong chip offering but also the wide moat it has been able to create in the space through its CUDA software. Long before the AI frenzy, Nvidia created its CUDA platform to help developers program its GPUs using software that it gave away for free. As a result, CUDA became the standard program upon which developers in the industry learned to program these chips. As the de facto industry standard, it has made it more difficult for other companies to break into the space and take meaningful market share.