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
- [Performance]: Async sched: Why return AsyncGPUModelRunnerOutput util func sample_tokens
- [Tracking Issue][Performance] GPT-OSS B200/GB200 performance optimization tracker
- [Feature][P1]: docker image / cache reuse between CI and release pipelines
- [Feature]: Optionally Return LogSumExp in Attention
- [docker] kv_connectors (lmcache) not installed on arm64 release images
- [Bug]: compilation_config.backend="eager" doesn't work aot mode (yet).
- [Usage]: Qwen3-30B-A3B-NVFP4 fails on Dell Pro Max GB10 with "no kernel image is available for execution on the device"
- [Draft] [RFC]: vLLM + UCC Backend
- [Feature]: Support NVIDIA ModelOpt FP8 PTQ variants (FP8_PER_CHANNEL_PER_TOKEN / FP8_PB_WO) in vLLM
- [Feature]: The issue of being unable to achieve streaming output in function call inference
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