98%+ Tensor Core utilization shown in LLM training run, drawing admiration
gharik · x · 2026-10-24
- Researcher Ziang Li showed a training run achieving over 98% Tensor Core utilization, shared by Yuchen He and others as a top-tier feat.
- Such GPU utilization is exceptionally rare in LLM training and implies extremely optimized parallelism and data loading, though the post gives no further detail.
More from Infra
- NVIDIA makes 8-node DGX Spark clusters official: 97.4% scaling efficiency on 900M training — TheZachMueller · 2026-10-24
- One NVIDIA Vera Rubin rack would set you back at least ~$7M — LinusEkenstam · 2026-10-24
- DSF4.1 hits 280 tok/s on a single RTX 6000 — community chases 500 tok/s setups — capetorch · 2026-10-24
- PS5 Pro sells out in Toronto as memory shortage hits consumer hardware — Rasmic · 2026-10-24
- Open-source kapitsa engine boosts Mac local agent throughput 23% with tree speculative decoding — DotaMate · 2026-10-24
- Nvidia compute unlock boosts RTX 3080 20GB prefill by up to 29%, decode unchanged — No-Refrigerator-1672 · 2026-10-24