SGLang Trainium Plugin
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- SGLang launches beta plugin for AWS Trainium inference and RL
The SGLang Team, in collaboration with AWS, announced a beta plugin for running LLM inference serving and reinforcement learning rollouts on AWS Trainium2 and Trainium3. Built on TorchNeuron, the beta initially covers Qwen3, Qwen3-MoE-30B-A3B, DeepSeek-V2-Lite, GLM-4, and GLM-5.2/5.3, with parallelism, Radix Cache, BF16, FP8, and an asynchronous scheduler. In an early end-to-end test, SGLang generated Qwen3-MoE-30B-A3B rollouts on Trainium3 while Miles trained a GRPO policy with Megatron on one H200 node; performance work remains ongoing.
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