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No Token Left Behind: Demystifying Token-In-Token-Out in Miles
In agentic RL, a rollout is not a single generation. It is a chain of model calls, tool outputs, harness messages, and resumed generations. Token-In-Token-Out (TITO) is a design principle that address...
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...
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