🚀 New blog: Cosmos3 in RLinf: 3.33× End-to-End Evaluation Throughput with SGLang
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🚀 New blog: Cosmos3 in RLinf: 3.33× End-to-End Evaluation Throughput with SGLang RLinf is an open-source framework designed for embodied intelligence & AI agents. It now supports Cosmos3 from fine-tuning to robot evaluation. With SGLang inference support, we deliver 3.33× end-to-end evaluation throughput Highlights: - SGLang batches inference for 128 parallel environments on 8 GPUs. Covering 500 episodes of the full LIBERO-10 evaluation. - RLinf overlaps CPU simulation with GPU inference to reduce waiting between stages. Thanks to the RLinf team for the integration! Read the full blog below
Posted by LMSYS Org (17.4k followers) 1 h ago · 6 likes · 476 views · view the original post on X. Kept by the Dev Radar as AI dev tools.
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