vLLM has released version 0.30.1rc0, introducing support for dense NVFP4 and MoRI kernel mirrors on AMD's MI355 GPU architecture. The update, signed off by AMD engineer Andreas Karatzas, ensures that the latest high-performance inference kernels are available for this hardware generation. This release candidate aims to maintain feature parity with NVIDIA counterparts, allowing developers to leverage advanced quantization techniques on AMD systems. The change is part of an ongoing effort to broaden vLLM's hardware compatibility beyond CUDA-centric environments.
Read originalThis release quietly solidifies llama.cpp’s position as the universal inference runtime by adding explicit ROCm 10.0 builds for both Linux and Windows. The inclusion of CUDA 13.4 alongside the existing 12.x variants ensures compatibility with the latest NVIDIA driver stacks without forcing users to stick to older libraries. More importantly, the new backend testing infrastructure means these diverse hardware configurations are now validated systematically rather than left to chance. This reduces fragmentation for developers running on AMD or newer NVIDIA cards who previously had to troubleshoot build issues manually.
This release refines the internal test suite for better visibility, but the real signal is platform expansion. CUDA 13 builds are now available across Linux and Windows, giving developers early access to the latest NVIDIA stack without waiting for stable drivers. AMD ROCm support also advances with version 10.0 binaries, keeping pace with hardware shifts. While KleidiAI on Apple Silicon is currently disabled, the core inference runtime remains robust across major architectures. This is a maintenance-heavy update that ensures compatibility with cutting-edge GPU libraries.
This release quietly extends llama.cpp's hardware compatibility to the latest NVIDIA and AMD stacks. By adding default builds for CUDA 13.4 and ROCm 10.0, it ensures local inference stays viable on cutting-edge GPUs without manual compilation. The update also stabilizes Apple Silicon builds by disabling KleidiAI, likely due to stability concerns. For builders running newer hardware, this is the essential patch to avoid compatibility errors.