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
- [Bugfix] Fix mismatched kernel-per-logical blocks in NIXL HMA transfer
- [Bug]: Batch chat completions drop Gemma 4 reasoning delimiters
- [Performance]: Remove duplicate cudagraph capture in elastic EP
- [RFC]: Disaggregated Speculative Decoding with Standalone Parallel Draft Model
- [Bugfix] Fix TRTLLM ragged MLA prefill workspace warmup
- [Bug]: FLASHINFER_CUTLASS_MXFP4_MXFP8 produces wrong output under expert parallelism
- [Bug]: LMCache external KV keys omit prompt_embeds content, allowing same-length embedding prompts to share stale KV
- [Bug]: Runtime LoRA same-name reload can reuse stale prefix-cache blocks from previous adapter version
- [Bug]: vllm 0.11.2 the p2p_nccl_engine not support ipv6? which version is ok
- [Bug]: V1 Scheduler hard-fails on stale req_id in `_update_after_schedule` (defensive guard missing)
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