🎉 Exciting News — NVIDIA Cosmos is celebrating its 1st birthday and has hit 5 MILLION downloads! 🎉
In just one year, the Cosmos ecosystem has grown rapidly: 🧠 Cosmos Reason and Cosmos Predict have surpassed 2 MILLION downloads each on @HuggingFace, topping physical AI leaderboards 🔄 Cosmos Transfer is enabling adaptation across domains and tasks 🔮 Cosmos Cookbook is the go-to hub for recipes from developers and partners like Uber and IntBot.
Thank you to our amazing developer community for making this possible. Here's to pushing the boundaries of world foundation models together!
Big news from CES — Cosmos Reason 2 is here — our most advanced reasoning vision-language model for physical AI, now topping the Physical AI Bench leaderboard🏆 shi-labs/physical-ai-bench-leaderboard
What’s new: - Enhanced physical reasoning & spatio-temporal understanding - Flexible deployment with 2B & 8B model sizes - Long-context understanding (up to 256K tokens) - Object detection with 2D/3D point localizations and trajectory data - New Cosmos Cookbook Recipes for faster onboarding
On top of Cosmos Reason 2, we also rolled out other new updates, including: - Cosmos Predict 2.5 – Unified Text2World/Image2World/Video2World model for higher-quality synthetic video worlds - Cosmos Transfer 2.5-2B – Lightweight, high-fidelity world-to-world translation with stronger physics alignment - NVIDIA GR00T N1.6 – Open robot foundation model for general-purpose robotic learning and control, integrated with Cosmos Reason
We’re excited to share that Cosmos Reason has surpassed 1 million downloads on Hugging Face!
Cosmos Reason is an open, customizable, commercial-ready 7B-parameter reasoning vision language model (VLM) designed for physical AI. By combining physics understanding, prior knowledge, and common sense reasoning, Cosmos Reason empowers AI agents and robots to operate intelligently in real-world environments.
Key applications already unlocked include:
✅ Automating large-scale dataset curation and annotation
🤖 Powering robot planning and vision-language action (VLA) decision-making
📊 Driving advanced video analytics and actionable insight generation
We’re proud to see a global community of developers using Cosmos Reason to teach robots to think like humans—and we’re just getting started.
Cosmos Reason just topped Physical Reasoning Leaderboard on Hugging Face. 👏🔥
Cosmos Reason is an open, customizable, commercial-ready 7B-parameter, reasoning vision language model (VLM) for physical AI and robotics. The VLM empowers robots and vision AI agents to reason like humans, leveraging prior knowledge, physics understanding, and common sense to understand and operate intelligently in the real world.
This model unlocks advanced capabilities for robotics, autonomous vehicles, and real-world operations—from cities to high-tech factories.
Key use cases include: Data curation & annotation: Automate high-quality dataset curation and annotation at scale. Robot planning & reasoning: Serve as the "brain" for deliberate, methodical decision-making with vision language action (VLA) models. Video analytics AI agents: Extract actionable insights and perform root-cause analysis on massive video datasets.
