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
- [Bug]: CPU offload errors on nightly with NVIDIA GH200 Unified Memory (UMA)
- [Bug]: vLLM 0.15.0 startup on H200 failed at deep_gemm
- [Bugfix] Deduplicate sampled token in top_logprobs output
- Rename misleading num_sampled_tokens to num_sampled_reqs
- [Bug]: Docker Model Runner vLLM ignores tensor parallel config and starts with world_size=1 on 4x RTX 3060
- Use client-provided UUIDs directly as cache keys (#36692)
- Protect Download from Object Storage by Multiple Processes with Runai Model Streamer
- [Bug]: POST /wake_up causes vLLM process to crash. 500 Internal Server Error
- Add torch._scaled_mm backend for NVFP4 linear
- [Docker] Resolve NIXL runtime wheel for kv connectors
- Docs
- Python not yet supported