Ai2's new GPU scheduler cut median H100 queue wait from 5 minutes to 24 seconds
allen_ai · x · 2026-10-09
Allen AI (Ai2) details the engineering behind its new GPU scheduler for allocating compute across research teams. Under the old scheduler, incentives were broken: every scheduled workload eventually escalated to HIGH priority, and some researchers kept idle jobs running just to reserve GPUs for future experiments.
With the new approach, median queue wait on Ai2's largest H100 cluster dropped from 5 minutes to 24 seconds. The thread covers the full engineering rationale — a rare first-hand look at compute governance inside a research lab.
More from Infra
- Data centers could become SpaceX's biggest revenue stream, with $1T revenue on the horizon — Dr_Singularity · 2026-10-10
- New gTLD application for .lan shows why internal services need real registered domains — evilsocket · 2026-10-10
- Chart adds ByteDance Volcano Engine and Alibaba Cloud genAI procurement, classified by AI agent — Miles_Brundage · 2026-10-10
- 68GB Qwen MoE at 21 tok/s on RTX 3060 + 16GB RAM, bit-exact via new --moe-direct-io — zyxciss · 2026-10-10
- Krueger's New Paper: 'Hardwire' AI Models Into Chips Instead of Dismantling the Compute Supply Chain — DavidSKrueger · 2026-10-10
- TokenSpeed hits SOTA for Kimi K3 on AMD MI355X: 1.4x faster than ATOM at 216 tok/s — zhyncs42 · 2026-10-10