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
- [Core] Complete snapshot recovery before serving
- [Feature]: Support fused MoE weights with NCCL M2N weight transfer
- [Feature]: Support trainer-side pipeline parallelism with NCCL M2N weight transfer
- [ROCm][CI/Build] Add fix for Distributed DP Basic with AITER always on.
- [Perf][DSv4.1] SM120: decode DeepSeek-V4.1's own KV records with FlashInfer's DSv4.1 sparse MLA
- [Bugfix] Register KV caches with the connector outside the runtime pool
- [Bugfix][Qwen4Exp] Pin the offloaded PLE table at its exact size
- [Perf][DSv4.1] Register CPU-offloaded Engram tables at their exact size
- [Core] Add startup snapshot capture to ordinary serving
- [Kernel][Quant] Fuse MLA v_up_proj output quantization (WIP, #43498)
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- Python not yet supported