
Google has unveiled its latest AI model, Gemini Deep Research Max, which is designed to push the boundaries of AI research and applications. This model aims to enhance capabilities in data analysis and machine learning, providing researchers with advanced tools for their projects. The launch reflects Google's commitment to leading in AI innovation.
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This release quietly expands llama.cpp's hardware support to include Qualcomm's Hexagon NPU on Linux arm64, a significant step for local inference on Snapdragon devices. It also updates CUDA builds to version 13.4 and introduces ROCm 10.0 binaries, keeping the project aligned with the latest NVIDIA and AMD driver ecosystems. KleidiAI on Apple Silicon is temporarily disabled in this build, likely due to stability checks rather than a feature rollback. For developers targeting edge AI or diverse GPU stacks, this update ensures broader compatibility without requiring custom compilation.
© Lev SelectorNVIDIA introduced the NVFP4 4-bit format and SoL-Pi technology, which uses 2x fewer tokens for improved efficiency.
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Google updates Gemini 3.8 with Live Avatar technology and advanced Text-to-Speech capabilities.