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
- [ROCm][Perf] Use AITER single-launch KDA decode in GLM-5.3-Flash
- [Perf] Tuned batch-invariant fused MoE configs on Blackwell
- [Feature][KV Connector] Pass typed cache axes at registration
- [Bugfix][MoE] Avoid double router weighting in TRTLLM BF16 experts
- [Bug]: MTP speculative decoding with forced-reject diverges from target-only with confident margins on Qwen3.8-27B (GDN hybrid) at K>=5, n>=8, L>=192
- [Spec Decode] Add DSpine adjacent-causal-injection drafts
- [Fast Start] Seed compiled caches through the D2D transport
- [Perf][Kernel] AWQ: vectorize the output store in dequantize_weights
- [Bug]: P2P KV offload tier does not fail fast on peer faults
- [Bugfix][KV Offload] Reject unsupported canonical_layout for CPUOffloadingSpec
- Docs
- Python not yet supported