
Google has unveiled Gemini Robotics 2, a significant advancement in AI software for humanoid robots. This release enhances coordination from feet to fingertips, allowing robots to balance, walk, and handle delicate tasks like sealing Ziploc bags and tying knots. The software includes 22 degrees of hand movement and can run locally without an internet connection. It adapts to new robot bodies within hours and powers hardware from partners such as Apptronik's Apollo 2. Developers can access the reasoning model 'Gemini Robotics ER 2' on Google AI Studio, while hardware integrators can access the full Vision-Language-Action and On-Device models through Google DeepMind's early access program.
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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
5 developments
Google updates Gemini 3.8 with Live Avatar technology and advanced Text-to-Speech capabilities.