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
- [Kernel]: Unify MLA cache gather into single gather_cache entry point
- [Installation]: cannot install deepep
- [Model Bash][DeepSeek]: PDL for AR+RMS and First Attention GEMM
- [Bug]:
- [Feature]: User-specified expert→EP-rank placement file for MoE expert parallelism
- [RFC]: Automated baselining and degradation detection
- [Bug]: using vllm on Qwen3-Omni-30B-A3B-Instruct: Failed to apply prompt replacement for mm_items['audio'][0].
- [Bug]: P2pNcclConnector NCCL send/recv key mismatch in disaggregated prefill XpYd architecture due to assign_request_id() random suffix
- [Model Bash][DeepSeek]: PDL for AR+RMS + RouterGEMM
- [RFC]: CUDA Checkpoint/Restore for Near-Zero Cold Starts
- Docs
- Python not yet supported