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
- Add FULL CUDA-Graph support for KV Connector path
- [bugfix]:Cannot connect to host when using disagg epd proxy
- [Feature][Bugfix] Support draft model tp any of speculative decode
- Segmented prefill for gapped external KV cache hits
- [Bug]: Structured output is not correctly enforced when using GPT-OSS
- [ROCm][torch.compile] Add aiter act/rms+mxfp4 per tensor quant fusion pass for Llama
- [Core][Feat] Add max-waiting-queue-length parameter to reject requests when waiting queue is full
- [Bugfix] Add SM 12.1 support + Fix GPT-OSS Harmony garbled reasoning and HarmonyError crashes
- PR Title: [Feature] EWSJF: Adaptive Scheduler for Mixed-Workloads (30-50% Throughput Gain)
- [RFC]: Returning Last Token, Last Layer Hidden States Through The OpenAI API
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