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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...
SGLang Low-Latency Mode: Kernels and Runtime
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