
NVIDIA and Hugging Face have announced a collaboration to integrate NVIDIA's advanced robotics models and frameworks into Hugging Face's open source library, LeRobot. This includes the NVIDIA Isaac GR00T 1.7 model and the Isaac Teleop framework, which will provide developers with standardized tools for robot development. The partnership aims to make robotics development more accessible and collaborative by offering shared models and workflows. An upcoming addition, the NVIDIA Cosmos 3 model, will further enhance capabilities for data generation and simulation in robotics.
Read originalEarlier coverage that leads up to this article, and what followed. Lines connect each piece to the closest one after it, converging here.
This release quietly cements llama.cpp as the universal inference runtime by finally supporting NVIDIA's latest CUDA 13 stack alongside AMD's ROCm 10.0. The inclusion of native builds for Linux arm64 with Snapdragon chips, covering CPU, Adreno GPU, and Hexagon NPU, signals a serious push into mobile edge deployment. While Apple Silicon KleidiAI is disabled in this specific build, the broader hardware coverage means developers no longer need to compile from source for most modern accelerators. It’s less about new features and more about removing friction for anyone running local models on bleeding-edge or diverse hardware.
© The Verge AINVIDIA Blog · April 10, 2026 · Related
Together AI Blog · April 28, 2026 · Related
Matt Wolfe · May 1, 2026 · Related
Hugging Face Blog · May 18, 2026 · Related
NVIDIA Blog · May 28, 2026 · Related
Sam Witteveen · June 1, 2026 · Related
The Rundown AI · June 2, 2026 · Related
WIRED AI · June 3, 2026 · Same story
Hugging Face Blog · July 20, 2026 · Related
TechCrunch AI · August 27, 2026 · Related
Matt Wolfe · August 28, 2026 · Related
TechCrunch AI · September 3, 2026 · Related
AI News · September 3, 2026 · Related
NVIDIA and Hugging Face Enhance Robotics with New Models
2 developments
Apple is finally unlocking its AI suite for Chinese users with the iOS 27.3 beta, marking a significant regulatory milestone after months of approval delays. The rollout relies on Alibaba’s Qwen model rather than OpenAI, integrating features like notification summaries and visual intelligence directly into the OS. By sidestepping the new Siri in favor of established text and image tools, Apple is prioritizing immediate utility over the full generative experience. This move effectively brings Apple’s AI capabilities to a massive new market, albeit with localized constraints that distinguish it from the global release.