Beating hipBLASLt on a gaming GPU: a GEMM optimization deep dive
Moist_Weird_42067 · reddit · 2026-09-03
A Reddit post links to a technical blog, 'Beating hipBLASLt on a gaming GPU,' where the author shows a hand-tuned GEMM implementation outperforming AMD's hipBLASLt library on a consumer gaming GPU — a hands-on look at low-level kernel optimization relevant to anyone squeezing inference performance from consumer hardware.
More from Infra
- Tencent open-sources CubeSandbox v0.7.0, keeping thousands of agents alive through node failures — SucceededMind · 2026-09-03
- Magnitude open-source inference server swaps coding agents to free local models automatically — nickbaumann_ · 2026-09-03
- MiniMax H3 video generation runs fully local on a single RTX 5060 Ti 16GB — apoke890 · 2026-09-03
- With 98% Cache Hits in Coding, 400-600 t/s Prefill Already Hits Diminishing Returns — nomorebuttsplz · 2026-09-03
- Dell COO: inference tokens to grow 87x to 3,600 quadrillion by 2030 — Beth_Kindig · 2026-09-03
- Modal intern's recap: environment-level budgets and agent-driven RL post-training — dejavucoder · 2026-09-03