SGLang v0.5.20 landed! Welcome @intel XPU to join standard SGLang releases 🎉
This is a AI post classified by Jev as AI infra & evals (a launch), kept by the AI Radar because it carries real work, not commentary.
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, an
Posted by SGLang (9.4k followers) 1 h ago · 22 likes · 730 views · view the original post on X. Kept by the AI Radar as AI infra & evals.
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