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Home/Coding Tools
Coding Tools

llama.cpp b12402 adds CUDA 13 and ROCm 10

llama.cpp Releases·November 15, 2026·high confidence

Why it matters

  • →ROCm 10.0 support allows AMD GPU users to run local models with parity to NVIDIA CUDA setups.
  • →CUDA 13 integration ensures compatibility with the latest driver releases and hardware generations.
  • →Snapdragon AI builds expand local inference capabilities to mobile ARM-based devices.

llama.cpp has released version b12402, updating its binary distribution to support CUDA 13 and ROCm 10.0 across Linux and Windows platforms. The release also includes builds for Ubuntu 26.04 s390x with zDNN and Snapdragon AI hardware on Linux arm64. Notably, KleidiAI is disabled by default in macOS Apple Silicon builds to ensure broader compatibility. This update positions llama.cpp as the primary inference engine for users migrating to newer GPU architectures.

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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 b11056 adds CUDA 13 and ROCm 10.0 — llama.cpp Releases1llama.cpp b12177 adds CUDA 13 and ROCm 10 — llama.cpp Releases2llama.cpp b12402 adds CUDA 13 and ROCm 10Sep 20You are here

How we got here

  1. 1
    llama.cpp b11056 adds CUDA 13 and ROCm 10.0

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

  2. 2
    llama.cpp b12177 adds CUDA 13 and ROCm 10

    llama.cpp Releases · November 7, 2026 · Same story

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llama.cpp b12398 optimizes Vulkan Flash Attention for AMD

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llama.cpp Releases·Nov 15, 2026
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llama.cpp b12399 adds ROCm 10 and CUDA 13 builds

This release quietly extends llama.cpp’s hardware support to the latest NVIDIA and AMD stacks. By shipping binaries for CUDA 13.5 and ROCm 10.0, it ensures users on cutting-edge GPUs don't have to compile from source to get performance gains. The Vulkan build also fixes header inclusion issues that previously broke compilation on some Linux distributions. It’s a maintenance update rather than a feature leap, but it keeps the local inference runtime compatible with the fastest consumer and datacenter hardware available today.

llama.cpp Releases·Nov 15, 2026
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llama.cpp b12400 release with CUDA 13 and ROCm 10

This is a routine maintenance release for llama.cpp that quietly extends hardware support to the latest NVIDIA and AMD stacks. By adding CUDA 13.5 and ROCm 10.0 binaries, it ensures local inference remains viable on cutting-edge GPUs without waiting for community forks. The build also includes OpenVINO and SYCL variants, reinforcing its role as the universal runtime for diverse accelerators. While no new model architectures are introduced, this update keeps the toolchain compatible with modern driver ecosystems.

llama.cpp Releases·Nov 15, 2026

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