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
- [Spec] Reduce DSpark CUDA-graph memory probe over the capture group
- Add a CUDA event pool for hot-path wait_stream calls
- [Benchmark] Record radix cache protocol in bench_serving JSONL rows.
- [Bug] EAGLE draft-extend plan stream lacks an input-producer dependency
- [Bug] A single /v1/chat/completions request with top_logprobs > vocab size kills the scheduler
- deps: align TileLang with Miles 0.1.14
- [Bug] json_schema accepts uniqueItems and multipleOf but does not enforce them
- [ROCm][QuickReduce] Q8 BF16→FP16 low-amplitude scale saturation attenuates all-reduce output
- Update to the cookbook for models supported by Intel Xeon CPUs
- Prefill CUDA graph reserves ~1.8 GB and starves quantized-KV long-context prefill on small cards (no auto-disable rule looks at free VRAM)
- Docs
- Python not yet supported