Infrastructures
The Seed Infrastructures team oversees the distributed training, reinforcement learning framework, high-performance inference, and heterogeneous hardware compilation technologies for AI foundation models.
Selected papers
May 9, 2025
Understanding Stragglers in Large Model Training Using What-if Analysis
Cluster Computing
Feb 27, 2025
Comet: Fine-grained Computation-communication Overlapping for Mixture-of-Experts
System Research
Oct 2, 2024
HybridFlow: A Flexible and Efficient RLHF Framework
Reinforcement Learning
System Research
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