sglang
https://github.com/sgl-project/sglang
Python
SGLang is a high-performance serving framework for large language models and multimodal models.
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- Issues
- [Feat] [NPU] attention: support mixed-chunk on the Ascend DSA sparse attention path
- [Docs] Add Ascend NPU graph mode optimization guide
- [Docs] cookbook: add Ascend NPU deployment for Qwen3
- [Perf] [NVIDIA] dsv41: Balance the SM90 paged decode indexer's tiles across the GPU so one long context no longer sets the step time
- SGLANG_JIT_DEEPGEMM_FAST_WARMUP on DeepSeek-V4.1: 3-5x faster cold start, no runtime degradation detectable at chunked-prefill 16384
- [Fix] model-loader: Honor explicit weight loaders for object-store models and drafts
- [Fix] logging: Bound token-ID decoding in partial request logs
- [Feat] tracing: Attribute prefix checkpoint CPU time to requests
- [Fix] diffusion: select Blackwell subtile attention by execution mode and quality
- [Feat] scheduler: add mixed-prefill resource controls
- Docs
- Python not yet supported