SGLang supports Kimi K3.1 Pro on day one, reaching up to 33.7K tokens per second per GPU on GB300

SGLang@sgl_project
Kimi K3.1 Pro replaces dense MLA with sparse attention (DSA). It's much more efficient and easier to serve. SGLang delivers on Day 0: · Up to 33.7K tok/s per GPU (AgentX, GB300) · 450 tok/s single user with DFlash2 + MegaKernel · NVIDIA Vera Rubin / Blackwell / Hopper, AMD, TPU, Trainium, PPU
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Headline by dalao.ai. The quoted post is the record; its author keeps authorship.