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0 pointstrueismywork2y ago0 comments

Scientific computing would buy it up like hot cakes.

0 comments

Only if the specific workload needs FP64 (4.5 Tflop/s), the 9 Tflop/s for FP32 can be had for cheap with Turing or Ampere consumer cards.

Still, your point stands. It's crazy how that 2016 GPU has two thirds the FP32 power of this new 2024 unobtanium card and infinitely more FP64.

Somewhat off topic:

Is there a similar "magic value card" for low memory (2GB?) 8-bit LLMs?

Since memory is the expensive bit, surely there are low cost low memory models?

I believe that's what tenstorrent is aiming for.

The main offer of Tenstorrent goes into server racks and is designed to form clusters.

Standalone cards are more like dev kits.

(I’ve been tracking Tenstorrent for 3+ years and currently have Grayskull in ML test rig together with 3090)

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