Profiling PyTorch Attention Performance: Part 3
ariG23498 · x · 2026-07-10
The third part of the PyTorch Profiling series has been released, focusing on Attention performance analysis. It covers naive attention implementations, the torch SDPA API, and various backends including math, xformers, flash, and cuDNN.
Related event: New PyTorch Tutorial Dives Deep into Attention Profiling(3 posts)→
More from Infra
- Larry Fink says China is ahead in the AI energy race, citing 100 GW nuclear buildout — rohanpaul_ai · 2026-07-21
- Local AI may pay back in 6–7 years and cut long-term costs by 30–40% — DavidLinthicum · 2026-07-21
- TSMC reportedly plans up to 10% chipmaking price hikes in 2027 — kimmonismus · 2026-07-21
- More open models and llama.cpp updates are coming, says Merve Noyan — mervenoyann · 2026-07-21
- Why adding a second LLM provider breaks more than the API surface — Ok_Extension6373 · 2026-07-21
- UK AI datacentres face backlash over heat, noise and land use — nordicinst · 2026-07-21