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llama.cpp b11052 adds CUDA 13 and ROCm 10 builds
llama.cpp Releaseshigh confidence
Why it matters
- →Enables immediate use of llama.cpp on systems running CUDA 13 and ROCm 10 without manual compilation.
- →Maintains broad hardware coverage including AMD, NVIDIA, Intel, and Huawei Ascend chips via pre-built binaries.
- →Clarifies Apple Silicon support status by explicitly disabling KleidiAI in this specific build.
llama.cpp has released version b11052, expanding its binary distribution to support CUDA 13 and ROCm 10.0 across Linux and Windows platforms. The update includes builds for NVIDIA's latest driver stacks (CUDA 12.8/13.3 and 12.4/13.4) and AMD's ROCm 10.0, alongside existing support for Vulkan, OpenVINO, and SYCL. Notably, KleidiAI acceleration on Apple Silicon is disabled in this release, while openEuler builds for Huawei Ascend chips remain available. This update ensures compatibility with the latest GPU drivers without requiring users to compile from source.
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llama.cpp b11050 adds CUDA 13 and ROCm 10.0 support
This release quietly closes the hardware gap for local inference by adding native support for CUDA 13 and ROCm 10.0 across Linux and Windows builds. Users with newer NVIDIA GPUs or AMD accelerators no longer need to compile from source to get performance, as these binaries are now pre-packaged. The inclusion of OpenVINO and SYCL variants further broadens the pool of compatible hardware beyond just NVIDIA and AMD. While Apple Silicon support is present, KleidiAI has been disabled in this specific build, likely due to stability checks. This is a practical update that keeps llama.cpp relevant as hardware vendors push new driver standards.
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