**Nvidia Aims to Become the Default Platform for Generalist Robotics**
CES 2026 was a wild ride for Nvidia, with the company launching a slew of new products and technologies that are set to revolutionize the world of robotics. The ambitious goal? To become the go-to platform for generalist robotics, just like Android became the dominant force in smartphones.
As AI continues to advance and move beyond the cloud, we’re seeing a major shift in the robotics landscape. With smarter sensors, advanced simulation, and AI models that can tackle complex tasks, robots are getting smarter and more capable by the day. Nvidia wants to be at the forefront of this revolution, providing the foundation for the next generation of robots.
So, what’s behind Nvidia’s plans? Let’s dive in and explore the details:
**Game-changing open basis models**
Nvidia has unveiled its full-stack ecosystem for physical AI, including new open basis models that enable robots to reason, plan, and adapt across multiple tasks and environments. These models are available on Hugging Face, and they’re a total game-changer.
**Simulation powerhouses**
The new Cosmos Switch 2.5 and Cosmos Predict 2.5 models are like AI superheroes, capable of generating artificial knowledge and analyzing robotic policies in simulation. They’re a huge step forward in the world of robotics.
**Vision and action**
Cosmos Purpose 2 is a reasoning vision language model (VLM) that enables AI systems to see, understand, and act in the physical world. Meanwhile, the next-gen Isaac GR00T N1.6 vision language action (VLA) model is specifically designed for humanoid robots, allowing them to move and manipulate objects with ease.
**The engine behind the models**
Nvidia has also launched Isaac Lab-Environment, an open-source simulation framework hosted on GitHub. It’s a safe and controlled environment where developers can test and validate robotic capabilities. And to power it all, there’s the new Jetson T4000 graphics card, which delivers 1200 teraflops of AI compute and 64 gigabytes of memory while running efficiently at 40 to 70 watts.
**OSMO, the command center**
Nvidia’s OSMO is an open-source command center that integrates the entire workflow from knowledge generation to training across desktop and cloud environments. It’s a key part of Nvidia’s plan to make robotics development more accessible and fun.
**Partnership powers**
Nvidia is deepening its partnership with Hugging Face, integrating its Isaac and GR00T technologies into Hugging Face’s LeRobot framework. This connects Nvidia’s 2 million robotics developers with Hugging Face’s 13 million AI developers, making it easier for people to experiment with robotic training without breaking the bank or requiring specialized knowledge.
The bigger picture here is that Nvidia wants to make robotics development more accessible and is aiming to be the underlying hardware and software vendor powering it. Early signs suggest they’re making progress – robotics is the fastest-growing class on Hugging Face, and Nvidia’s models are leading the charge.
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