NVIDIA Has a Problem. It's Called Apple

Описание: Apple's M-series chips can outperform a $2,000 NVIDIA GPU for real AI work — and most developers still don't know it.

The entire modern AI ecosystem was built on NVIDIA's CUDA platform. Every research lab, every cloud provider, every major AI tool. Twenty years of dominance so complete it became invisible infrastructure. But CUDA has a problem: it was designed for data centres, not devices. And the world is moving to devices.

Apple couldn't use CUDA — so they built Metal. One unified framework covering GPU compute, AI acceleration, graphics, and video processing across every Apple device ever made. No drivers to configure. No expensive hardware to buy. No cloud bill that explodes when you get users. Just a billion devices already in people's pockets, ready to run your code.
In this video I break down three specific areas where Metal now beats CUDA — bandwidth, memory, and power efficiency — and what that means for developers building AI apps, games, and iPhone software today.

CUDA built the AI era. But the AI era is moving on.