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llama.cpp b11739 release with ROCm 10 and CUDA 13
llama.cpp Releaseshigh confidence
Why it matters
- →ROCm 10.0 default builds allow AMD GPU users to run llama.cpp without manual compilation, significantly lowering the barrier for non-NVIDIA hardware.
- →CUDA 13.4 support ensures compatibility with the latest NVIDIA driver stacks and future-proofing for upcoming GPU architectures.
- →Snapdragon Linux support opens up local inference possibilities for ARM-based laptops and edge devices previously unsupported.
llama.cpp has released version b11739, expanding its pre-built binary support to include ROCm 10.0 and CUDA 13.4 libraries for both Linux and Windows environments. The update also adds initial support for Linux arm64 devices running Snapdragon processors, covering CPU, Adreno GPU, and Hexagon NPU configurations. Notably, the KleidiAI optimization for Apple Silicon remains disabled in this build, while openEuler support is currently restricted to specific Huawei Ascend chips (310p and 910b). These changes broaden the hardware compatibility of the popular local inference engine without introducing new model architectures or quantization methods.
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How we got here
- 1llama.cpp b11222 release with ROCm 10 and CUDA 13
llama.cpp Releases · September 28, 2026 · Same story
- 2llama.cpp b11221 release with ROCm 10 and CUDA 13
llama.cpp Releases · September 28, 2026 · Same story
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