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
- [Usage]: How can I use GPU12 as standalone KV LMCache?
- [Bug]: Engine crash with MTP + CUDA-Graph for Qwen3-Next (concurrent requests = 3)
- [RFC]: Integrate omni-ai-npu/omni-infer's Topology-Aware Placement and Execution Optimizations into vLLM EPLB
- [Performance]: scheduler improvement to prevent KV-cache heavy requests from blocking others
- [Performance]: VLLM performance degradation when comparing with Tensor RT
- [Usage]: How to set different attention backend for prefill and decode phases?
- [Feature]: Add support for ROCTx
- [Bug]: [H200] DeepSeek V3.2 MTP > 1 run into error (FLASHMLA_SPARSE backend)
- [Usage]: rollout slow
- [Bug]:
- Docs
- Python not yet supported