
Google has unveiled the Gemini Omni Flash, a new model in its Gemini series. This release is part of Google's ongoing efforts to enhance AI capabilities across its platforms. The Omni Flash model is designed to improve efficiency and performance in AI-driven tasks.
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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.