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AWS releases SGLang-Neuron for serving models on Trainium chips
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Amazon announced that SGLang-Neuron, built by RadixArk with Annapurna Labs, is publicly available through an AWS Deep Learning Container. The out-of-tree plugin lets users serve models and generate reinforcement learning rollouts on Trainium AI chips using the standard SGLang server interface and generation APIs, running on native PyTorch with NKI kernels and supporting prefill-decode disaggregation over EFA.
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aws.amazon.com · Read the original source ↗
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