llama.cpp lands Flash Attention tuning for RDNA4, big prefill gains on AMD
pmttyji · reddit · 2026-09-11
llama.cpp merged pwilkin's CUDA/HIP Flash Attention tuning PR (#28102) targeting AMD RDNA4 (R9700) and RDNA 3.5 (RX 9060 XT, 8060S) GPUs, delivering notable prefill improvements with especially good numbers at large context. Detailed benchmarks are included in the PR — a real speedup for running LLMs locally on AMD cards.
More from Infra
- SemiAnalysis: OpenAI reportedly negotiating ~1GW TPU commitment while seeking sites — dylan522p · 2026-10-28
- I tested 11 video upscaling methods for AI video: local, Topaz and cloud compared — lopas99 · 2026-10-28
- Thermo-backed CTO says AI is in its dial-up phase, touts disaggregated compute for an ultrafast 'broadband moment' — beffjezos · 2026-10-28
- DeepSeek-V4.1-Flash Q2 runs at 41 tok/s on one RTX 3090, 90% token match vs API — musicurgy · 2026-10-28
- USearch v3 RC ships after 1,000 days, its libraries now embedded in 550K-star projects — viglovikov · 2026-10-28
- SK Hynix says memory demand will outpace supply through 2030 — Chemical_Hawk_6307 · 2026-10-28