vllm
https://github.com/vllm-project/vllm
Python
A high-throughput and memory-efficient inference and serving engine for LLMs
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- Issues
- Fix Mooncake state cleanup for re-admitted requests
- [RFC]: DeepSeek-V4.1-Flash performance on MI325X (gfx942)
- [Bug]: validate_xgrammar_grammar skips unsupported-feature checks for JSON schemas nested in structural tags
- [Feature][Profiler] Meta-device operator capture
- [ROCm][Perf] Fold Q fp8 quantization into QkNormRopeKvCacheFusionPass (drop per-layer scaled_quant)
- Check nested JSON schemas in structural_tag for xgrammar support
- [Bugfix][Frontend] Parse split GLM tool-call markers
- [Perf][MRV2] Share GDN, Mamba and Kimi-K3 KDA batch metadata across KV cache groups
- [HiSparse] Allow backing the host KV pool with hugetlbfs
- [Security] Fail EC NIXL reads when the ack block count mismatches
- Docs
- Python not yet supported