• Hey, guest user. Hope you're enjoying NeoGAF! Have you considered registering for an account? Come join us and add your take to the daily discourse.

Why do Nvidia’s chips dominate the AI market? - The Economist

tommib

Member
Nvidia’s ai chips, also known as graphics processor units (gpus) or “accelerators”, were initially designed for video games. They use parallel processing, breaking each computation into smaller chunks, then distributing them among multiple “cores”—the brains of the processor—in the chip. This means that a gpu can run calculations far faster than it would if it completed tasks sequentially. This approach is ideal for gaming: lifelike graphics require countless pixels to be rendered simultaneously on the screen. Nvidia’s high-performance chips now account for four-fifths of gaming gpus.

But even building better hardware may not be enough. Nvidia dominates ai chipmaking because it offers the best chips, the best networking kit and the best software. Any competitor hoping to displace the semiconductor behemoth will need to beat it in all three areas. That will be a tall order.
 

AJUMP23

Parody of actual AJUMP23
Because they leaned into it early and they had the vision to see that it would be a huge part of the market. They got out early with their message and people bought in.
 

dave_d

Member
I do remember that at my last company the head of the AI department preferred CUDA since the software to actually use it was more mature. One thing he mentioned is that it actually supported multiple GPUs and they wanted to use that some of the time. (No idea myself if it's that much better than the tools for say OpenCL.) Admittedly they mostly used PyTorch which I guess uses CUDA. (I am no expert.)
 
Top Bottom