Ai2 優化 GPU 調度以支持高影響力的 AI 研究
ai2 更新 gpu 調度策略，以優先考慮高影響力的研究，改善 150 名內部研究人員的資源分配。ai2 管理數千顆 nvidia h100, b200, 和 b300 gpu，用於大規模分布式 ai 模型訓練。
ai2's ai infrastructure team, responsible for providing gpu compute capacity, targeted large, distributed training workloads. they managed thousands of nvidia h100, b200, and b300 gpus arranged in clusters ranging from 88 to 1024 gpus. the team served 150 internal researchers working on ai projects, including llm and vlm training, robotics reinforcement learning, and post-training for scientific agentic use cases. ai2 had demand for gpu time that far exceeded supply, with 2-3x more gpu requests than available. the new scheduling system aims to prioritize high-impact research while maintaining full occupancy.