Nvidia is entering the humanoid robotics space with a new foundational model, Project GR00T.
The company announced the artificial intelligence (AI) system at a developer conference this week, saying it is versatile enough to handle a number of tasks, including generating text to generate videos and images. .
Project GR00T (Generalist Robot 00 Technology) is designed to enable humanoid robots to understand natural language and create human movements by observing and learning from human movements. This allows robots to quickly acquire skills such as coordination and dexterity needed to navigate, adapt, and interact with human environments.
“Building a foundational model for a typical humanoid robot is one of the most exciting problems to solve in AI today,” Nvidia founder and CEO Jensen Huang said during the conference. “Enabling technologies are coming together to help leading robotics researchers around the world take a giant leap forward toward synthetic general purpose robotics.”
In addition to Project GR00T, Nvidia also introduced two contributions to the Isaac Robotics platform. One is the Isaac Manipulator, which is a collection of basic models for controlling a robotic arm, and the other is the Isaac Perceptor, which gives the robot advanced visual capabilities.
Nvidia also announced the Jetson Thor computer, a central processing unit for humanoid robots. This helps facilitate complex tasks and ensures smooth and safe interaction between humans and machines.
PYMNTS examined Nvidia's B200 chip earlier this week, which experts say could reshape the commerce industry by allowing AI applications to run faster and more efficiently.
Thanks to new chips, AI products could become more affordable and more widely available in the future. Abdullah Ahmed, founder of Serene Data Ops, told PYMNTS that this is due to what he calls “cheap inference.”
In the future, Ahmed said, more companies may start using basic AI models powered by chips like the B200 that are sufficient for their needs. Then you can focus on improving and selling your product.
This means that even smaller companies may be able to focus on AI products without as much need for expensive GPUs. This means lower costs for developing and using AI tools, making them more affordable for businesses and consumers.
“However, this is dependent on Nvidia's ability to maintain lead times reasonably in the face of overwhelming demand,” he said. “B200 is focused on the prevalence of large-scale language models, such as his GPT4 in OpenAI, which powers ChatGPT.”