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
- [Attention] Support NVFP4 KV cache at head_dim 512 (Gemma 4) on SM100
- [Bug]: prompt_logprobs=0 bypasses fast-prefill guard, causing V1 crash or V2 silent errors
- [Bug]: FP8 MoE per-tensor + CUDA graphs causes cross-request contamination via padding row amax
- [Kernel] Use 16-row tiles for SM89 int8 CUTLASS GEMM at M in (16, 64] when they don't add waves
- [Bug]: speculative_config.method="ngram_gpu" with compilation_config.mode="NONE" kills engine init — ValueError: No compilation mode is set.
- [Bugfix] Exclude cudagraph padding rows from the per-tensor FP8 MoE amax
- [Bugfix][Multimodal] Auto derive max_num_batched_tokens from max_model_len and max_num_seqs
- [Doc] Fix NGINX load balancer config: fail_timeout, streaming and keep-alive
- [Bug]: NixlConnector P/D: pulls and deferred notifications against TTL-evicted remote agents block 60s per call in libfabric connect(), starving DP engines to death
- [CI][AMD] Add queue fallback config for AMD GPU queues
- Docs
- Python not yet supported