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
- [Perf][Attention] Reuse KV loads across DiffKV prefill query positions
- [Bugfix][Spec Decode] Defer disposable DeepseekV32 MTP head for modelopt nvfp4
- [Perf] DiffusionGemma: skip the self-conditioning matmul on a read's last step
- docs(vllm): fix typos and duplicate word in comments and warning logs
- [Feature] [KV Offload] Support sharing SimpleCPUOffload prefix caches across local DP replicas
- [RFC]: Increase vLLM Review Capacity with a Reviewer Role
- [Bugfix][MLA] Prevent SM90 sparse MLA planner work-list overflow
- [Frontend] Give API workers independent reuseport listeners
- [Feature][KVConnector][DSv4.1] Encoder-only prefill with NIXL P/D
- [Bugfix][MoE] Handle missing DP metadata in the two-sided NVLink all2all
- Docs
- Python not yet supported