Open Source
Google Open-Sources Gemma 4 Model
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Why it matters
- →Open-sourcing Gemma 4 encourages community-driven innovation and collaboration in AI.
Google has announced the open-sourcing of its Gemma 4 AI model, allowing developers and researchers to access and utilize the model for various applications. This move is part of Google's strategy to promote collaboration and innovation in the AI community. By making Gemma 4 publicly available, Google aims to foster advancements in AI research and development.
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llama.cpp b11153 adds ROCm 10 and Snapdragon support
This release quietly cements llama.cpp as the universal inference runtime by finally bringing first-class ROCm 10.0 support to both Linux and Windows. AMD GPU users no longer need workarounds, effectively closing a long-standing parity gap with NVIDIA's CUDA ecosystem. Equally notable is the new Linux arm64 build targeting Snapdragon chips, which unlocks local AI on high-performance mobile hardware via CPU, Adreno GPU, and Hexagon NPU acceleration. While KleidiAI on Apple Silicon has been disabled in this specific binary, the broader platform expansion signals that llama.cpp is aggressively standardizing how models run across every major silicon architecture.
llama.cpp Releases
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llama.cpp b10989 Release Expands Platform Support
The latest b10989 release of llama.cpp continues its trend of broadening platform compatibility, now supporting a wide array of systems including macOS, Linux, Windows, and openEuler. Notably, this update includes support for CUDA 13.3 libraries on Ubuntu and Windows, as well as ROCm 10.0, enhancing its utility for AMD GPU users. While KleidiAI support is disabled on macOS, the release still marks a significant step in making llama.cpp a versatile tool for developers across different hardware configurations. This update doesn't introduce new models but focuses on expanding the accessibility of existing capabilities.