The Large Model Systems Organization develops large models and systems that are open, accessible, and scalable.
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Updating 1T parameters in seconds — P2P weight transfer in Large Scale Distributed RL
We introduced a RDMA-based, Peer to Peer weight update mechanism for RL workloads in SGLang as a supplement to traditional NCCL broadcast methods, compatible with all major open source models. By util...
DeepSeek-V4 on Day 0: From Fast Inference to Verified RL with SGLang and Miles
We are thrilled to announce Day-0 support for DeepSeek-V4 across both inference and RL training. SGLang and Miles form the first open-source stack to serve and train DeepSeek-V4 on launch day — with s...
HiSparse: Turbocharging Sparse Attention with Hierarchical Memory
Self-attention has become a major bottleneck in scaling LLMs to long contexts because of its quadratic compute and memory/IO cost. This has driven growing interest in efficient attention mechanisms. A...
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