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llama.cpp b11113 adds ROCm 10 and Snapdragon support
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Why it matters
- →ROCm 10.0 support allows AMD GPU users to run modern models without relying on workarounds or older driver versions.
- →Snapdragon arm64 support opens up local inference possibilities for high-performance mobile and ARM-based desktop hardware.
- →CUDA 13 binaries provide early compatibility with the latest NVIDIA driver stacks, future-proofing local deployments.
llama.cpp has released version b11113, expanding hardware support to include ROCm 10.0 for Linux and Windows, alongside CUDA 13 binaries. The update also introduces experimental support for Linux arm64 on Snapdragon platforms, leveraging CPU, Adreno GPU, and Hexagon NPU acceleration with an accompanying setup guide. Existing builds for Apple Silicon, Vulkan, OpenVINO, and SYCL remain available, though KleidiAI support on macOS has been temporarily disabled. This release reinforces the project's role as a cross-platform standard for local AI inference.
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