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
- [Docs] Update README with uv recommendation and Python version requirements
- [Usage]: Should we use `prompt_cache_key` instead of `cache_salt` in vLLM?
- [Feature]: Remove attention layer name from `unified_kv_cache_update`
- fix(symm_mem): add multicast support check to prevent crash on PCIe GPUs
- [Bug]: Requests Stuck in Waiting Queue with Zero Running
- [torch.compile] Avoid graph fragmentation in unified_kv_cache_update
- [Bug]: vLLM serve crashes after processing requests with FlashMLA + DP on DeepSeek
- [Bug]: GLM 4.6v startup failed
- [Feature]: Add prefix cache state metrics for KV cache monitoring
- [Bug]: LoRA MoE Eager Mode Changes Outputs
- Docs
- Python not yet supported