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llama.cpp b11222 release with ROCm 10 and CUDA 13
llama.cpp Releaseshigh confidence
Why it matters
- →ROCm 10.0 support removes the need for manual compilation on AMD GPUs, making local inference accessible to more users.
- →CUDA 13.4 binaries ensure compatibility with the latest NVIDIA driver stacks without requiring source builds.
- →Snapdragon AI stack integration opens llama.cpp for high-performance inference on mobile devices and edge hardware.
llama.cpp has released version b11222, updating its pre-built binaries to support ROCm 10.0 and CUDA 13.4 on Linux and Windows platforms. The release also adds native support for the Snapdragon AI stack (CPU, Adreno GPU, Hexagon NPU) on Linux arm64, expanding capabilities for mobile edge inference. Notably, KleidiAI builds for macOS Apple Silicon have been disabled in this version, likely to prioritize native ARM optimizations. The update includes bug fixes for parameter parsing and RPC handling but does not introduce new model architectures or quantization methods.
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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 b11105 adds ROCm 10 and Snapdragon support
llama.cpp Releases · September 22, 2026 · Same story
What happened next
- 2llama.cpp b11221 release with ROCm 10 and CUDA 13
llama.cpp Releases · September 28, 2026 · Same story
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