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
- [ROCm] Implement is_integrated_gpu() for APU unified-memory accounting
- [Perf] Skip detokenization in offline beam search
- DCP: consume owner-sharded Top-K candidates through symmetric memory
- [Bug]: fp8/bfloat16 KV cache does a full NVML init+shutdown per attention layer per step
- [RFC]: Support Speculative Decoding with Decode Context Parallelism
- [Perf][MoE] Enable clamped SwiGLU and fused unpermute for NVFP4 CUTLASS
- [Feature][Quantization] Add per-layer online quantization configuration (#50281)
- add logs to local the garbled text issue
- [Model] Fix Kimi-K3 MLA with disabled context parallelism
- perf(scheduler): balance requests across PP batches
- Docs
- Python not yet supported