What is NVIDIA's role in AI?

At a glance

• Supplies roughly 80-90% of the chips that train and run AI in data centers^[5].
• Its data-center revenue hit $51.2 billion in one quarter, up 66% year over year^[2].
• Its CUDA software is the industry standard, locking developers into NVIDIA hardware^[3].
• Every major cloud (AWS, Azure, Google, Oracle) runs NVIDIA, so you likely use it indirectly^[4].

Why it matters

AI requires massive math done fast, and NVIDIA’s GPUs do this far better than ordinary processors. Since the modern AI era began in 2012, nearly every advanced model has been trained on NVIDIA hardware. It sells the “picks and shovels” of the AI gold rush.

The real moat: software

Switching to a rival chip means rewriting and re-testing software built on CUDA over nearly two decades, so most companies don’t. That lock-in keeps NVIDIA ahead even as AMD and custom cloud chips improve^[1].

Bottom line

NVIDIA sits at the base of the AI stack, so whether you build AI or buy it, you almost certainly rely on NVIDIA.