The Large Model Systems Organization develops large models and systems that are open, accessible, and scalable.
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Announcing the SGLang AWS Trainium Plugin Beta
In collaboration with AWS and alongside the TorchNeuron launch, we are announcing the beta of the SGLang Trainium plugin, enabling both inference serving and RL rollouts on AWS Trainium.
Elastic Expert Parallelism Scaling in SGLang: Growing a Live MoE Deployment with NIXL
Inference deployments operate under changing load and must adapt their capacity while maintaining throughput and latency targets. For large Mixture-of-Experts (MoE) models, the standard options are ho...
SGLang-TorchTPU: PyTorch-Native Production Serving on TPUs
- SGLang-TorchTPU is open source today, built by the SGLang team at RadixArk in collaboration with Google and Meta. - Launch models include Muse Spark Open, GLM-5.3 Flash, GLM-5.3, Kimi K3, DeepSeek V...
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