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
- Fix Cohere embed task prefix rendering
- [New Model][ROCm] Add AMD support for DeepSeek V4
- [RFC]: Rust front-end
- [Kernel][Helion] Optimize Helion config parsing latency
- [OOT] Add 'platform_extra' config extension to support OOT hardware plugins
- [Bug]: vLLM TP=4 corrupts non-English output on PCIe consumer GPUs
- [CI Failure]: mi355_1: Kernels MoE Test %N
- [Bug]: GDN-based models (Qwen3.5/3.6 family) crash on the second request when running on multi-GPU XPU with prefix caching enabled
- [Bug]: assert is_mixture_of_experts fails on vllm serve with --enable-eplb
- [Feature]: Support per-deployment leader election ID and pod-level scoping for LoRA adapters in multi-deployment namespace setups
- Docs
- Python not yet supported