
Google has released its AI-based hydrology model as open source, enabling meteorological services worldwide to improve flood forecasting. The model, available on GitHub, allows researchers and forecasters to train AI models using local data, enhancing the accuracy of flood predictions. This initiative aims to democratize access to advanced forecasting tools, particularly benefiting resource-constrained regions. The open-source release is part of Google's broader effort to support global flood resilience and preparedness.
Read originalThe b10952 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 Vulkan and ROCm 10.0 on Ubuntu, as well as CUDA 12 and 13 on Windows, enhancing its utility for developers working across diverse hardware configurations. While KleidiAI support on macOS Apple Silicon is disabled, the release still marks a significant step in making llama.cpp a versatile tool for AI inference across different environments. This update doesn't introduce new models but solidifies llama.cpp's position as a flexible runtime option for developers beyond the NVIDIA ecosystem.
The b10964 release of llama.cpp marks a significant expansion in platform support, particularly for Windows and Ubuntu users. With the addition of CUDA 13.4 DLLs for Windows arm64 and Vulkan support for Ubuntu, this update broadens the accessibility of llama.cpp across diverse hardware configurations. Notably, the inclusion of ROCm 10.0 for both Windows and Ubuntu x64 platforms enhances the performance capabilities for AMD GPU users. This release doesn't introduce new models but focuses on making llama.cpp a more versatile and inclusive tool for developers across different systems.