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llama.cpp b11217 adds ROCm 10 and Snapdragon support
llama.cpp Releaseshigh confidence
Why it matters
- →ROCm 10.0 support removes the last major barrier for AMD GPU users adopting local LLMs.
- →Snapdragon binaries enable efficient AI inference on mobile and edge Linux devices using Hexagon NPU.
- →CUDA 13 builds prepare the ecosystem for next-generation NVIDIA hardware compatibility.
llama.cpp has released build b11217, expanding hardware support to include ROCm 10.0 and Qualcomm Snapdragon processors. The update adds ROCm binaries for Ubuntu x64 and Windows x64, allowing AMD GPU users to run models natively without custom compilation. Additionally, new Linux arm64 binaries enable acceleration via CPU, Adreno GPU, and Hexagon NPU on Snapdragon devices. The release also includes CUDA 13 builds (13.4) for both NVIDIA and ARM architectures, alongside Vulkan and OpenVINO support across platforms. Notably, KleidiAI optimizations for Apple Silicon are currently disabled in this build.
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Earlier coverage that leads up to this article, and what followed. Lines connect each piece to the closest one after it, converging here.
How we got here
- 1llama.cpp b11218 adds ROCm 10 and Snapdragon support
llama.cpp Releases · September 28, 2026 · Same story
What happened next
- 2llama.cpp b11215 adds ROCm 10 and Snapdragon support
llama.cpp Releases · September 28, 2026 · Same story
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