Nvidia's Move Into Humanoid Robotics: CEO Jensen Huang Discusses Strategy

In a conversation with CNBC's Jim Cramer, Nvidia CEO Jensen Huang has provided insights into the company's foray into the development of humanoid robots, citing a unique approach leveraged by the extensive data training derived from human movements. Nvidia, known for its formidable presence in the artificial intelligence sector, believes humanoid robots can reach peak productivity through learning from data predominantly based on the human form.

Huang explained, "We're in a world where, in order to write a software for a computer, we use data, or training examples, and the computer learns from the examples. We have the most examples of human(s) moving around of just about any other data." This treasure trove of data translates to more efficient training for humanoid robots, which are expected to perform in environments initially designed for humans.

"We built the world for ourselves," Huang continued, using the scenario of a car factory as an illustration. He pointed out that manufacturing lines were originally designed with humans in mind; consequently, humanoid robots trained on human-based data could potentially excel in these settings. Huang envisioned a future where a single robot could orchestrate a team of specialized manufacturing robots in the creation of robotic vehicles.

Just recently, at its conference in San Jose, California, Nvidia took the wraps off Project GROOT. Standing for Generalist Robot 00 Technology, Project GROOT is a foundational model intended for the use in general-purpose humanoid robots. The initiative aims to accelerate Nvidia’s ambitions in revolutionizing robots and embodied AI.

Beyond manufacturing robotics, Huang highlighted Nvidia's numerous collaborations across Big Tech and various industries. Emphasizing that Nvidia acts as a 'market maker, not a share taker,' Huang confidently projected that the advancement of Nvidia's technologies would lead to job creation. As companies become more productive owing to these technologies, their profitability should increase, leading them to expand their workforce, he argued.

Nvidia, Robotics, AI