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Home/Coding Tools
Coding Tools

llama.cpp b11606 release adds ROCm 10 and CUDA 13

llama.cpp Releases·October 14, 2026·high confidence

Why it matters

  • →AMD GPU users gain official ROCm 10 support, reducing friction for local inference on non-NVIDIA hardware.
  • →CUDA 13 integration future-proofs the runtime against upcoming NVIDIA driver and library changes.
  • →Pre-built binaries are updated automatically, removing the need for manual compilation for most users.

llama.cpp has released version b11606, updating its pre-built binaries to support ROCm 10.0 and CUDA 13 across Linux and Windows platforms. The update includes builds for AMD GPUs via ROCm 10.0 and NVIDIA GPUs using CUDA 13.4 libraries, alongside standard CPU and Vulkan options. macOS KleidiAI builds are currently disabled in this release. The update also simplifies backend search path error handling to improve stability.

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The story around this

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 b11606 release adds ROCm 10 and CUDA 13llama.cpp b11747 adds ROCm 10 and CUDA 13 support — llama.cpp Releases1llama.cpp b11848 adds ROCm 10 and CUDA 13 — llama.cpp Releases2Oct 14You are hereOct 24

What happened next

  1. 1
    llama.cpp b11747 adds ROCm 10 and CUDA 13 support

    llama.cpp Releases · October 20, 2026 · Same story

  2. 2
    llama.cpp b11848 adds ROCm 10 and CUDA 13

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

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llama.cpp b12022 adds ROCm 10 and Snapdragon support

This release quietly cements llama.cpp as the universal inference runtime by finally bringing ROCm 10.0 to Linux and Windows alongside CUDA 13.4, effectively closing the hardware gap for AMD users who were previously left behind. The inclusion of native Snapdragon support on Linux marks a significant step toward running local LLMs on ARM-based mobile chips without emulation overhead. While KleidiAI on Apple Silicon is disabled in this build, the broader expansion to diverse accelerators ensures that developers aren't locked into NVIDIA ecosystems anymore.

llama.cpp Releases·Nov 1, 2026
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llama.cpp b12023 fixes shared prefix bug

This release addresses a specific inference artifact where decision prefixes were incorrectly bleeding into output embeddings. By capping shared prefixes at the first output position, llama.cpp ensures that option tokens remain distinct for parent and child tasks. This is a targeted fix for multi-step reasoning or voting workflows rather than a performance boost. It stabilizes complex generation patterns without changing the underlying model architecture.

llama.cpp Releases·Nov 1, 2026
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llama.cpp b12024 adds Snapdragon and ROCm 10

This release quietly expands llama.cpp's hardware support to include Qualcomm Snapdragon devices with CPU, Adreno GPU, and Hexagon NPU acceleration. It also updates ROCm to version 10.0 for both Linux and Windows, keeping AMD users in step with the latest driver stack. CUDA builds now default to 13.4 libraries alongside 12.x options, reflecting the industry's gradual shift toward newer NVIDIA toolkits. While no new model architectures are introduced, the binary matrix grows significantly, ensuring local inference remains viable on a wider array of edge and server hardware.

llama.cpp Releases·Nov 1, 2026

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