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llama.cpp b11213 adds ROCm 10 and Snapdragon support
llama.cpp Releaseshigh confidence
Why it matters
- →ROCm 10.0 support removes AMD GPU barriers for local inference on Linux and Windows.
- →New Snapdragon arm64 builds enable efficient LLM execution on mobile SoCs using Hexagon NPU.
- →CUDA 13.4 libraries ensure compatibility with the latest NVIDIA driver stacks.
llama.cpp has released build b11213, expanding hardware support to include ROCm 10.0 for AMD GPUs on Linux and Windows, alongside new arm64 builds for Linux Snapdragon devices. The release also provides CUDA 13.4 libraries for both NVIDIA platforms and maintains OpenVINO and SYCL options for Intel hardware. Notably, KleidiAI optimizations for Apple Silicon are currently disabled in this build, while openEuler support remains restricted to specific Huawei Ascend configurations. This update broadens the accessibility of local LLM inference across diverse non-NVIDIA architectures.
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How we got here
- 1llama.cpp b11153 adds ROCm 10 and Snapdragon support
llama.cpp Releases · September 24, 2026 · Same story
- 2llama.cpp b11147 adds ROCm 10 and Snapdragon support
llama.cpp Releases · September 24, 2026 · Same story
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