Cognition on Training Across Thousands of GPUs: CoreWeave Mission Control Delivers 96% Goodput
silasalberti · x · 2026-10-21
Cognition engineer Silas Alberti explains why thousands-GPU synchronous runs break when a single replica goes down, and how CoreWeave's Mission Control replaces unhealthy nodes before they hurt throughput. A preview GPU Straggler Detection feature flags the one GPU dragging a synchronous job.
CoreWeave claims up to 96% training goodput, bundling security, expert-led operations, and observability into one operating standard included with its cloud.
More from Infra
- vLLM's specialized decode path hits 829 P90 TPS per user on four B300 GPUs, 26% faster — vllm_project · 2026-10-21
- vLLM says it can reproduce DeepSeek's inference performance, yielding $39/GPU/hr revenue — vllm_project · 2026-10-21
- vLLM matches DeepSeek's DeepInfer decode performance within 6%, generating $39/GPU/hr at off-peak pricing — vllm_project · 2026-10-21
- AMD brings EAGLE-4 speculative decoding to Instinct MI355X day 0, 1.6x faster than built-in MTP — hongyangzh · 2026-10-21
- TokenGate: learned token pruning speeds up LLM prefill up to 11.3x — Liana Patel · 2026-10-21
- Modal revives multiplayer game Curvytron to demo its new Sticky Sessions routing — charles_irl · 2026-10-21