
Google DeepMind has unveiled Gemini Robotics ER 2, an advanced model designed to enhance robotic intelligence and collaboration. This new model allows robots to understand and process video feeds in real-time, enabling them to track task progress and adapt to changes dynamically. Gemini Robotics ER 2 also supports multi-robot collaboration, allowing different robots to work together on complex tasks. Available through the Gemini API and Google AI Studio, this release aims to empower developers to build more capable and responsive robotic systems.
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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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Gemini Robotics 2 Enhances Robot Intelligence
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