The Large Model Systems Organization develops large models and systems that are open, accessible, and scalable.
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RadixArk Miles runs agentic RL training on NVIDIA Vera CPUs: faster sandboxes, faster training
In agentic RL, the model does more than write text: it runs commands in a sandbox, compiles code and runs tests, and decides its next step from the results. A training run can keep hundreds of sandboxes or more open at once, and the CPUs that run them can affect the speed and scale of training.
SGLang and NVIDIA NIM: Advancing Enterprise Inference Together
SGLang now powers NVIDIA NIM Certified microservices. The open-source inference engine brings together high performance, broad model support, and a developer community that continues to push inference forward. It is already proven in large-scale production deployments.
LMSYS Org Launches SGLang Consortium with NVIDIA, AMD, Intel, Google, Meta, Cloudflare, Modal and RadixArk to Advance Open-Source AI Inference
Hardware, model and infrastructure leaders join SGLang’s maintainers to advance efficient inference for growing AI ecosystem
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