AI2 Explains Its GPU Scheduler: Time Budgets, Fair-Share, Time-Slicing
AI2 (Allen Institute) · rss · 2026-10-09
AI2's official post explains its new GPU cluster scheduler: time budgets for predictable planning, fair-share allocation across teams, and time-slicing that lets short jobs cut in ahead of long ones — all to prioritize high-impact research, shorten queue waits, and keep GPUs busy.
More from Infra
- OpenJet claims Qwen3.8-27B coding runs 1.9x faster than llama.cpp on one RTX 3090 — JeremyCMorgan · 2026-10-23
- Jensen Huang lays out NVIDIA's full Vera Rubin agentic system: NVL72, MGX, CMX and RTX — rohanpaul_ai · 2026-10-23
- ONNX to Transformers.js: running models directly in your browser — JosephJacks_ · 2026-10-23
- MiniMax M3.1 Flash free for 3 days on 0G, with 1M context and 512K output — MiniMax_AI · 2026-10-23
- "We bet on Cloudflare and it paid off": R2 and D1 at billion scale — dinasaur_404 · 2026-10-23
- Public data is drying up; private training data is turning into a browsable catalog — SucceededMind · 2026-10-23