close
close

Guiltandivy

Source for News

Is Nvidia stock a buy now?
Update Information

Is Nvidia stock a buy now?

Given that the stock is up nearly 190% year-to-date and nearly 2,830% over the past five years, investors may be wondering if that's the case Nvidia (NASDAQ:NVDA) is still a buy after these huge gains. The gains have made it the world's second-largest company by market capitalization.

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

The biggest bull case for Nvidia is that despite the insane demand the company is seeing for its graphics processing units (GPUs) to support AI infrastructure, AI expansion is apparently still in the early stages of what is expected to be a long game. Big tech companies and well-funded AI startups like OpenAI and Elon Musk's xAI have poured money into building AI-focused data centers to support training large language models (LLMs) and performing AI inference.

This can be seen in the increasing capital expenditure (capex) budgets of large technology companies and management comments on future spending. For example, alphabet And Metaplatforms have both pointed out that the biggest risk in their AI spending is not overspending, but underinvesting oracle has stated that there is no end in sight to AI infrastructure spending in the next five to ten years.

In the meantime, MicrosoftFinancial leases completed but not started (largely for AI data centers) more than tripled last year to a whopping $108.4 billion.

AI models require exponentially more computing power to train as they become more advanced and sophisticated. For example, Alphabet said its Llama 4 LLM would require up to ten times as much processing power as its previous version, while xAI's Grok 3 required five times as many GPUs to train as Grok 2.

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

Artist's impression of an AI chip.
Image source: Getty Images.

While the need for GPUs is likely to continue unabated, Nvidia is not the only company capable of producing AI chips. Advanced micro devices also makes GPUs, while some companies, such as Broadcomsupport companies in developing tailor-made AI chips for their specific requirements.

However, Nvidia has become the clear market leader in this area with a market share of over 80%. This is due not only to its strong chip offering, but also to the wide lead the company has been able to create in this area with its CUDA software. Long before the AI ​​frenzy, Nvidia developed its CUDA platform to help developers program their GPUs using software the company made available for free. As a result, CUDA became the standard program that developers in the industry used to learn to program these chips. As a de facto industry standard, it makes it more difficult for other companies to enter the space and capture significant market share.

LEAVE A RESPONSE

Your email address will not be published. Required fields are marked *