Ai2 Shares GPU Cluster Scheduling Practices
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On October 9, 2026, the Hugging Face Blog published an article by Ai2's AI Infrastructure team on revamping their GPU cluster scheduler. The team changed the scheduling of its GPU cluster from the previous priority-based system to a system combining GPU time budgets, hierarchical fair-share, and time-slicing contracts, aiming to keep the cluster fully loaded while prioritizing compute for high-impact research. The article is a primary source describing the specifics of the scheduler revamp.
AI overview of reporting · Updated 9 days ago
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- Hugging Face BlogImpactful scheduling for GPU clusters
Ai2's AI Infrastructure team replaced its GPU cluster scheduler's priority system with one based on GPU time budgets, hierarchical fair-share and time-slicing contracts, to keep the cluster full while prioritizing high-impact research.
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