Models & Labs
llama.cpp b12277 adds CUDA 13 and ROCm 10
llama.cpp Releaseshigh confidence
Why it matters
- →CUDA 13 and ROCm 10 support ensures llama.cpp stays compatible with the latest NVIDIA and AMD GPU drivers.
- →Snapdragon integration opens up local inference possibilities for mobile edge devices with NPU acceleration.
- →KleidiAI default change simplifies builds for standard Apple Silicon users while allowing advanced tuning.
llama.cpp has released build b12277, adding support for CUDA 13.5 and ROCm 10.0 on Linux and Windows platforms. The update also introduces native support for Qualcomm Snapdragon devices, leveraging Adreno GPUs and Hexagon NPUs. Apple Silicon builds are now compiled with KleidiAI disabled by default, while openEuler support remains limited to specific Huawei Ascend configurations. This release focuses on expanding hardware compatibility rather than introducing new model features or performance optimizations.
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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.
How we got here
- 1llama.cpp b11222 release with ROCm 10 and CUDA 13
llama.cpp Releases · September 28, 2026 · Same story
- 2llama.cpp b12282 adds CUDA 13 and ROCm 10
llama.cpp Releases · November 11, 2026 · Same story
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