SGLang explains serving and RL rollouts on AWS Trainium
Overview
SGLang says model serving and reinforcement learning rollouts on AWS Trainium work through its existing interface.
The session, presented by AWS's Pinak Panigrahi and RadixArk's Alex Nails, covers the TorchNeuron plugin beta, NKI kernels, parallelism, speculative decoding, and an introduction to Miles. The report is a single post from SGLang's X account, which links the talk and does not include performance figures.
Written by AI from the articles below · updated Nov 6, 7:37 PM ET
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SGLang@sgl_projectOfficialSGLang explains model serving and RL rollouts on AWS TrainiumAISGLang says serving models and generating RL rollouts on AWS Trainium works through its existing interface. AWS's Pinak Panigrahi and RadixArk's Alex Nails cover the TorchNeuron plugin beta, NKI kernels, parallelism, speculative decoding, and an introduction to Miles.

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