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
- [Bug]: Qwen3-30B-A3B on B200 (TP=8) — K must be divisible by blockK in flashinfer convert_to_block_layout (unquantized MoE oracle path)
- [Feature]: Add cap to --max-model-len auto (auto-fit with upper bound)
- [Bug]: Gemma4 Fast Prefill Optimization degrades p95 inter-token latency significantly
- [Installation]: GH200 nodes
- [Feature]: Server overloaded response
- [Attention] Remove unused slot mapping from standard metadata
- [RFC]: Custom graph dumping for vLLM-compile and depyf deprecation
- [feature][WIP] Enable KV Offload for DeepSeek V4 model
- [Bug]: `kv_cache_dtype="fp8_e5m2"` silently corrupts output on Qwen-VL models (Qwen2-VL, Qwen2.5-VL) with default scaling
- [torch.compile] typing/debug cleanups: standardise LoadConfig.compute_hash, Path-typed traced_files, richer cache_key_factors.json
- Docs
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