I'm unsure but we'll see for sure in a few months

pure ignorant speculation lol.

i just assume Nvidia would be better at this since this is their space... CUDA moat etc (although not sure how much of a moat that remains).

Nvidia does not make TPUs. Nvidia makes GPUs. Nvidias architecture does have cuda cores but the general architecture isn't an ASIC architecture. You're simply misinformed.

> Nvidias chips are GPUs

nope, NVDA have been in the general-purpose custom-garbage space-heater business for a while now.

GPUs are for the hobbyist, [TPUs](https://en.wikipedia.org/wiki/Tensor_Processing_Unit)[^1] are for enterprise

***

[^1]: according to that link, apparently TPUs are specifically Google bricks, while NVIDIA makes ["Tensor Cores"](https://en.wikipedia.org/wiki/Deep_Learning_Super_Sampling#Hardware); honestly, if it burns like a brick, and it cracks like a brick, is it not just a brick!?

adlai

I would assume their chips would be inferior to Nvidias

Do we know that or is it speculation? Nvidias chips are GPUs - they're made for graphics and just happened to be useful for AI due to their massively parallel design. These AI chips are ASICs, they're tailor made for AI training/inference. If OpenAI managed to make ASICs that perform worse than GPUs that would be spectacular.

tech

OpenAI designed and built their first AI chip: Jalapeño.

zuspotirko

> I would assume their chips would be inferior to Nvidias

Do we know that or is it speculation? Nvidias chips are GPUs - they're made for graphics and just happened to be useful for AI due to their massively parallel design. These AI chips are ASICs, they're tailor made for AI training/inference. If OpenAI managed to make ASICs that perform worse than GPUs that would be spectacular.