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llama.cpp b12174 adds ROCm 10 and CUDA 13
llama.cpp Releaseshigh confidence
Why it matters
- →ROCm 10 support removes the friction barrier for AMD GPU users running local LLMs.
- →CUDA 13 readiness ensures compatibility with next-generation NVIDIA hardware architectures.
- →Snapdragon NPU integration expands viable inference targets to mobile and edge devices.
llama.cpp has released version b12174, expanding hardware support for local AI inference. Key additions include ROCm 10.0 builds for Linux and Windows, enabling native AMD GPU acceleration without manual compilation flags. The release also introduces CUDA 13.5 libraries for Ubuntu and Windows, supporting newer NVIDIA GPUs alongside existing CUDA 12 builds. Additionally, Snapdragon mobile chips (CPU, Adreno GPU, Hexagon NPU) are now supported on Linux arm64. Apple Silicon KleidiAI support is currently disabled in this specific build.
Read originalThe 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.
How we got here
- 1llama.cpp b11027 adds CUDA 13 and ROCm 10 builds
llama.cpp Releases · September 18, 2026 · Same story
- 2llama.cpp b11747 adds ROCm 10 and CUDA 13 support
llama.cpp Releases · October 20, 2026 · Same story
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