Models & Labs
llama.cpp b11681 adds CUDA 13 and ROCm 10.0
llama.cpp Releaseshigh confidence
Why it matters
- →CUDA 13 support allows users to leverage newer NVIDIA driver stacks for local inference.
- →ROCm 10.0 integration provides AMD GPU users with parity to CUDA builds.
- →Snapdragon Linux binaries extend efficient AI inference to ARM-based mobile chips.
llama.cpp has released version b11681, expanding hardware compatibility with native support for CUDA 13 (versions 12.4 and 13.4) and ROCm 10.0 across Linux and Windows platforms. The update also introduces Snapdragon Linux binaries for CPU, Adreno GPU, and Hexagon NPU acceleration, alongside OpenVINO and SYCL builds. Notably, macOS Apple Silicon KleidiAI builds are currently disabled in this release. This expansion ensures developers can utilize the latest driver ecosystems without custom compilation.
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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 b11028 adds CUDA 13 and ROCm 10.0 support
llama.cpp Releases · September 18, 2026 · Same story
- 2llama.cpp b11540 adds ROCm 10 and CUDA 13 support
llama.cpp Releases · October 10, 2026 · Same story
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llama.cpp b12022 adds ROCm 10 and Snapdragon support
This release quietly cements llama.cpp as the universal inference runtime by finally bringing ROCm 10.0 to Linux and Windows alongside CUDA 13.4, effectively closing the hardware gap for AMD users who were previously left behind. The inclusion of native Snapdragon support on Linux marks a significant step toward running local LLMs on ARM-based mobile chips without emulation overhead. While KleidiAI on Apple Silicon is disabled in this build, the broader expansion to diverse accelerators ensures that developers aren't locked into NVIDIA ecosystems anymore.
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llama.cpp b12023 fixes shared prefix bug
This release addresses a specific inference artifact where decision prefixes were incorrectly bleeding into output embeddings. By capping shared prefixes at the first output position, llama.cpp ensures that option tokens remain distinct for parent and child tasks. This is a targeted fix for multi-step reasoning or voting workflows rather than a performance boost. It stabilizes complex generation patterns without changing the underlying model architecture.
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llama.cpp b12024 adds Snapdragon and ROCm 10
This release quietly expands llama.cpp's hardware support to include Qualcomm Snapdragon devices with CPU, Adreno GPU, and Hexagon NPU acceleration. It also updates ROCm to version 10.0 for both Linux and Windows, keeping AMD users in step with the latest driver stack. CUDA builds now default to 13.4 libraries alongside 12.x options, reflecting the industry's gradual shift toward newer NVIDIA toolkits. While no new model architectures are introduced, the binary matrix grows significantly, ensuring local inference remains viable on a wider array of edge and server hardware.
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