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
- [Installation]: libcudart.so.13 required when torch-backend=cu129 on vllm v0.22.0
- fix(tracing): dual-emit legacy and current OTel GenAI token attributes
- [Bugfix] enable per-engine stats logging when api_server_count > 1
- [Core] Implement fine-grained timing spans for requests.
- Fix FlashInfer attention auto-selection on SM75 GPUs
- [Bugfix][V1] Don't resume scheduler on a partial wake_up (illegal memory access, #44395)
- [RFC]: AMD Zen CPU CI Infrastructure for vLLM
- [Quantization][FP8] Replace bare asserts with descriptive exceptions in fp8.py
- [KVCache] Add Triton software NVFP4 KV cache support
- [MM][Perf] Add PaddleOCR-VL encoder CUDA graph support
- Docs
- Python not yet supported