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Home/Coding Tools
Coding Tools

llama.cpp b12053 updates Apple memory and adds ROCm 10

llama.cpp Releases·November 3, 2026·high confidence

Why it matters

  • →ROCm 10.0 support allows AMD GPU users to run standard builds without custom compilation.
  • →CUDA 13 on ARM64 expands inference options beyond x86 servers for NVIDIA users.
  • →vm_allocate fix improves stability for Apple Silicon memory management.

llama.cpp has released build b12053, focusing on platform stability and expanded hardware support. The update replaces posix_memalign with vm_allocate for Apple platforms to improve memory management on macOS and iOS. It adds ROCm 10.0 support for Linux and Windows, alongside CUDA 13 libraries for ARM64 systems. These changes enhance compatibility for AMD GPU users and broaden the range of supported hardware configurations without introducing new model architectures.

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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.

llama.cpp b11155 adds ROCm 10 and CUDA 13 support — llama.cpp Releases1llama.cpp b11539 adds ROCm 10 and CUDA 13 support — llama.cpp Releases2llama.cpp b12053 updates Apple memory and adds ROCm 10Sep 24You are here

How we got here

  1. 1
    llama.cpp b11155 adds ROCm 10 and CUDA 13 support

    llama.cpp Releases · September 24, 2026 · Same story

  2. 2
    llama.cpp b11539 adds ROCm 10 and CUDA 13 support

    llama.cpp Releases · October 10, 2026 · Same story

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llama.cpp b12054 adds CUDA 13 and ROCm 10.0

This release quietly cements llama.cpp as the universal inference runtime by adding default support for CUDA 13 and ROCm 10.0. NVIDIA users can now leverage newer driver stacks without waiting for separate builds, while AMD GPU owners finally get parity with modern ROCm versions. The inclusion of Snapdragon and OpenVINO binaries further widens the hardware net, though Apple Silicon KleidiAI is notably disabled here. It’s less about new features and more about ensuring no major accelerator is left behind in the local LLM ecosystem.

llama.cpp Releases·Nov 3, 2026
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llama.cpp b12057 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 Apple Silicon is temporarily disabled, the expansion into AMD and Qualcomm hardware signals a strategic shift toward broadening accessible local inference beyond just NVIDIA.

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llama.cpp b12058 adds CUDA 13 and Snapdragon support

This release quietly cements llama.cpp as the universal inference runtime by finally supporting CUDA 13 alongside the established CUDA 12 builds. The inclusion of native Snapdragon Linux binaries marks a significant step toward on-device AI for ARM-based mobile hardware, moving beyond just desktop GPUs. While Apple Silicon KleidiAI is currently disabled in this build, the broader platform coverage ensures that developers aren't locked into NVIDIA ecosystems anymore. It’s less about new features and more about removing friction for anyone running newer drivers or edge devices.

llama.cpp Releases·Nov 3, 2026

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