SGLang releases serving backend for AWS Trainium

Nov 13, 2026
SGLang-Neuron v0.1.0 brings the open-source serving engine to Trainium2 and Trainium3 chips.

The team behind the open-source SGLang serving engine has released SGLang-Neuron v0.1.0, its first public backend for AWS Trainium chips, LMSYS announced. It follows a closed beta in October.

The release supports Trainium2 and Trainium3 and focuses on keeping the chips busy between steps, with a fully asynchronous runtime, combined kernels and prefill and decode split across machines. It also supports reinforcement learning rollouts with RadixArk's Miles framework. SGLang-Neuron is built by people at RadixArk, Amazon's Annapurna Labs and Yotta Labs.

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