SGLang(@sgl_project):SGLang v0.5.20 landed! Welcome @intel XPU to join standard SGLang releases 🎉 Some of our favorite updates: - RL sampling masks make rollouts more reliable, with up to 52% faster decode - Unified Radix Tree adds SWA branching-point caching: ~20pt higher cache hit rate, ~1/3 lower TTFT - DSpark now supports PD + DCP for long-context serving - SGLang Simulator brings scheduler & cache experiments to CPU - ROCm model loading is up to 12.5× faster - SGLang-Diffusion gets up to ~38% lower E2E latency New models include GLM-5.3-Flash, Qwen3.8-Flash-Next, K2 Horizon, Hy4-Preview, FastH3, VDN-H3, and more. Full release notes👇

2026.09.22 18:58

SGLang v0.5.20 landed! Welcome @intel XPU to join standard SGLang releases 🎉 Some of our favorite updates: - RL sampling masks make rollouts more reliable, with up to 52% faster decode - Unified Radix Tree adds SWA branching-point caching: ~20pt higher cache hit rate, ~1/3 lower TTFT - DSpark now supports PD + DCP for long-context serving - SGLang Simulator brings scheduler & cache experiments to CPU - ROCm model loading is up to 12.5× faster - SGLang-Diffusion gets up to ~38% lower E2E latency New models include GLM-5.3-Flash, Qwen3.8-Flash-Next, K2 Horizon, Hy4-Preview, FastH3, VDN-H3, and more. Full release notes👇

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