SGLang-Neuron publicly released on AWS Trainium
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Amazon announced that SGLang-Neuron is now publicly available through AWS Deep Learning Container, released in collaboration between RadixArk and Annapurna Labs. Users can continue to use the existing SGLang interface to serve models on Trainium and generate reinforcement learning rollouts. According to the official instructions, completing this workflow requires Amazon EC2 instances with Trainium3, paired with the pytorch-inference-sglang-neuronx container.
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- AWS Machine Learning BlogDeploy frontier AI models on AWS Trainium with SGLang-Neuron
Amazon announced that SGLang-Neuron, released by RadixArk with Annapurna Labs, is publicly available through an AWS Deep Learning Container, letting users serve models and generate RL rollouts on Trainium via the same SGLang interface. The out-of-tree plugin runs on native PyTorch, is selected with SGLANG_PLATFORM=neuron, and supports PD disaggregation with KV-cache transfer via NIXL over EFA. The post includes a walkthrough on a Trainium3 EC2 instance using the pytorch-inference-sglang-neuronx container to serve openai/gpt-oss-120b.
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