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Home/Coding Tools
Coding Tools

llama.cpp b11270 updates ROCm and CUDA builds

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

Why it matters

  • →ROCm 10.0 support allows AMD GPU users to run newer drivers without custom compilation.
  • →CUDA 13.4 updates ensure compatibility with the latest NVIDIA driver releases.
  • →HIP optimizations may provide minor performance improvements on specific AMD architectures.

llama.cpp has released build b11270, updating its precompiled binaries to support ROCm 10.0 and CUDA 13.4 across Linux and Windows platforms. The release includes specific HIP optimizations for packed byte subtraction operations to improve efficiency on AMD GPUs. Additionally, builds for openEuler with ACL Graph support have been disabled in this version. This update ensures compatibility with the latest driver stacks for both NVIDIA and AMD hardware.

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llama.cpp Releases
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Sep 30, 2026
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llama.cpp b11267 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 for modern hardware, effectively closing a long-standing parity gap with NVIDIA's CUDA ecosystem. Equally notable is the new Snapdragon build for Linux, which targets the emerging AI PC market by leveraging Adreno GPUs and Hexagon NPUs directly. While KleidiAI on Apple Silicon has been disabled in this specific binary set, the expansion into non-NVIDIA silicon signals a strategic shift toward hardware agnosticism that benefits anyone running local models outside of standard data centers.

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GitHub adds repo-level Dependabot runner config© GitHub Changelog
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GitHub adds repo-level Dependabot runner config

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