vllm
https://github.com/vllm-project/vllm
Python
A high-throughput and memory-efficient inference and serving engine for LLMs
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Help out
- Issues
- [BugFix] Fix P/D preemption race condition
- [Frontend] Reuse prefill token ids on the decode chat path for disaggregated serving
- [RFC]: Optimizing Asynchronous Stream Serialization in OpenAI API Entrypoint
- [Attention] Batch-level prefill/decode attention backend routing
- [Roadmap] vLLM Roadmap Q3 2026
- [ROCm][Bugfix] Pad block-FP8 MoE intermediate size for TP when not divisible by block_n
- [Metrics] Add sub-second buckets to request-level latency histograms
- [Core] Make the DeepGEMM JIT cache key portable across install layouts
- [Roadmap] Cold Start Q3 2026
- [Performance]: Model download at CLI entry: prior art, a first measurement, and a go/no-go protocol
- Docs
- Python not yet supported