Primary sourceAmazon Science
View sourceEvent ·Multi-source
SGLang-Neuron 发布:SGLang 工作流可在 AWS Trainium 上运行
Amazon Science 宣布 SGLang-Neuron 项目,让 SGLang 服务器原生支持 AWS Trainium 芯片,用户可以用同一套服务器和 API 在 Trainium 上部署模型并生成 RL rollout。技术上通过 TorchNeuron 提供原生 PyTorch 支持,开发者无需重写现有 SGLang 工作流即可迁移。这意味着原本依赖 NVIDIA GPU 的 SGLang 推理和强化学习数据生成流程,现在有了 AWS 自研芯片的选择,对已经在 AWS 生态内做 RL 训练的团队来说是直接的算力补充。
Current read
AWS 把 SGLang 搬上了自家 Trainium 芯片,服务器和 API 都不用改,RL rollout 也能跑。在 AWS 上做强化学习训练的团队可以看看,能省下抢 GPU 的麻烦。
11 sources52° AI heatLast updated 2026/11/12 22:04:43
Evidence
11 sourcesRelated source 1AWS Machine Learning Blog
View sourceRelated source 2Decoder
View sourceRelated source 3Simon Willison’s Weblog
View sourceRelated source 4LMSYS Org (SGLang)
View sourceRelated source 5CoreWeave
View sourceRelated source 6Detik Inet
View sourceRelated source 7VnExpress Số hóa
View sourceRelated source 8The Information
View sourceRelated source 9CNBC Indonesia Tech
View sourceRelated source 10rohanpaul_ai
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