Is Nvidia a Buy?

In This Article:

The question on many investors' minds is whether Nvidia (NASDAQ: NVDA), one of the best-performing stocks in the market, is still a buy after its huge run-up the past five years.

For those who missed out on buying the stock, let's look at five reasons that I think the answer is still yes.

1. The AI arms race

Currently there is a race among big technology companies to build data centers designed to handle artificial intelligence (AI). This is a handful of some of the biggest names in tech. While investors might not always be fans of their spending plans, capital expenditure (capex) budgets for these tech leaders are on the rise.

The big names that are spending on AI infrastructure include cloud computing stalwarts Microsoft, Amazon, Alphabet, and companies like Meta Platforms, Oracle, OpenAI, and Elon Musk's Tesla and xAI.

Both Alphabet and Meta Platforms have come out and said that the biggest risk with their AI infrastructure build-outs is underinvesting, given the huge opportunity AI presents. Musk, meanwhile, built his own data center for xAI because Oracle couldn't produce the AI cluster it needed fast enough.

And while these large tech companies duke it out, the one company best positioned to continue to reap the rewards is Nvidia, which through the sale of its graphics processing units (GPUs) is essentially the arms dealer in the battle for AI supremacy.

2. Exponential computing power will be needed

As these companies build their AI infrastructure, there is no sign that this spending will let up. The big reason is that as large language models (LLMs) advance, they need more computing power to be trained on.

And they won't need a few more GPUs for training -- they will need exponentially more. For example, xAI's Grok 2 model used 20,000 GPUs to train, while its Grok 3 model will use 100,000.

Meta Platforms has said its next-generation Llama 4 model will likely need 10 times the computing power as Llama 3. That would bring the number of GPUs required to train the model up to 160,000.

On its recent earnings call, Oracle said it sees no end in sight, saying investors should have no worries about spending on AI training slowing down over the next five to 10 years. The company predicted there would be no slowdown in the shift toward spending on AI inference, which is less computing-intensive.

Against this backdrop, Nvidia appears to have a long runway of growth.

Image source: Getty Images.

3. A software advantage

Nvidia isn't the only maker of GPUs. Advanced Micro Devices is its biggest rival, while Broadcom helps make custom chips for companies like Alphabet and Meta.