AMD GPUs Go Brrr(hazyresearch.stanford.edu)
222 points by vinhnx | 71 comments
First screen, captured .
Looks similar
GPUs Go Brrr(hazyresearch.stanford.edu)
1056 points by nmstoker | 243 comments
Stanford Hazy Research blog post on what GPU hardware wants for efficient AI kernels, introducing the ThunderKittens CUDA kernel library.
Related stories
GPUs Go Brrr(hazyresearch.stanford.edu)
1056 points by nmstoker | 243 comments
Stanford Hazy Research blog post on what GPU hardware wants for efficient AI kernels, introducing the ThunderKittens CUDA kernel library.
We were wrong about GPUs(fly.io)
834 points by mxstbr | 529 comments
Fly.io blog post reflecting on how the company's bet on offering GPU machines to developers did not pan out as expected.
What every developer should know about GPU computing(codeconfessions.substack.com)
422 points by Anon84 | 149 comments
A Substack primer by Abhinav Upadhyay explaining GPU architecture and computing concepts for software developers familiar mainly with CPUs.
The GPU, not the TPM, is the root of hardware DRM(mjg59.dreamwidth.org)
399 points by DvdGiessen | 408 comments
Blog post by Matthew Garrett arguing that GPUs, not TPMs, are the real root of hardware DRM; the capture shows a Dreamwidth captcha page instead.
TPUs vs. GPUs and why Google is positioned to win AI race in the long term(uncoveralpha.com)
375 points by vegasbrianc | 278 comments
A Substack deep dive from UncoverAlpha on Google's TPU chips, covering their technical design, strategic position versus GPUs, and financial implications for AI inference.
AMD may get across the CUDA moat(hpcwire.com)
498 points by danzheng | 266 comments
HPCwire article by Doug Eadline discussing how AMD's Instinct GPUs and software stack might overcome Nvidia's CUDA software lock-in for GenAI workloads.