NVIDIA released Cosmos 3 Edge, a 4-billion-parameter open-source world model designed to run on edge devices like Jetson modules and RTX GPUs, enabling robots and vision AI systems to understand scenes, predict outcomes, and generate actions in real time. The model achieves real-time inference at 15 Hz on NVIDIA Jetson Thor while generating 32 actions per inference, and ranks first among similar-sized models on VANTAGE-Bench for vision analytics. The release includes post-trained checkpoints, training recipes, and a robot manipulation policy variant, allowing developers to fine-tune the model for specific applications before deploying to edge hardware.
NVIDIA announced at SIGGRAPH multiple AI advances for creative and physical applications, including Model Context Protocol connections enabling AI agents within creative software like Blender and Unreal Engine, a Synthetic Video Detector NIM microservice for newsrooms achieving up to 92% accuracy on uncompressed video, and Cosmos 3 Edge, a 4-billion-parameter world model optimized for edge deployment on Jetson and RTX systems. The Synthetic Video Detector processes 1080p video in 22 milliseconds on RTX systems and 30 milliseconds on L40 GPUs, with partner Wowza deploying it across over 35,000 livestreaming deployments in 170 countries. These tools let creative professionals and physical AI systems run AI locally while maintaining control over data, reducing reliance on cloud services and enabling real-time inference for robotics, autonomous vehicles and infrastructure monitoring.
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