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Home/Coding Tools
Coding Tools

llama.cpp b11267 adds ROCm 10 and Snapdragon support

llama.cpp Releases·September 30, 2026·high confidence

Why it matters

  • →ROCm 10.0 support allows AMD GPU users to run modern models without custom compilation or legacy drivers.
  • →Snapdragon Linux builds open the door for efficient local inference on ARM-based AI PCs and mobile devices.
  • →Dual CUDA 12/13 availability ensures compatibility with both stable and cutting-edge NVIDIA driver stacks.

llama.cpp has released build b11267, expanding hardware support to include ROCm 10.0 for AMD GPUs on Linux and Windows, as well as native Snapdragon support for Linux devices. The update also provides CUDA 13 binaries (13.4 libraries) alongside existing CUDA 12 builds across multiple platforms. Notably, KleidiAI optimizations for Apple Silicon and openEuler builds have been disabled in this release. This version reinforces llama.cpp's position as a cross-platform standard for local AI inference.

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llama.cpp Releases
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Sep 30, 2026
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llama.cpp b11268 adds ROCm 10 and Snapdragon support

This release quietly cements llama.cpp as the universal inference runtime by finally bringing first-class ROCm 10.0 support to both Linux and Windows. AMD GPU users no longer need workarounds, effectively closing a long-standing parity gap with NVIDIA's CUDA ecosystem. Equally notable is the new Snapdragon build for Linux, which unlocks local AI on ARM-based laptops using Adreno GPUs and Hexagon NPUs. While KleidiAI on macOS has been disabled in this specific binary set, the expansion to AMD and Qualcomm hardware makes this one of the most significant platform broadening efforts yet.

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