Humanoid expands collaboration with Nvidia to power its next generation of humanoid robots

What happened

At the same time, Jetson Thor’s unified CPU (the general-purpose processor at the centre of a computer) and GPU (a chip built for many calculations at once, used for graphics and AI) memory reduces unnecessary data movement and latency (the delay between asking for something and getting it) and simplifies how different workloads share computing resources. October 30, 2026 by Sam Francis Humanoid , a UK-based AI and robotics company, is expanding its collaboration with Nvidia to build the computing foundation for a new generation of AI-powered humanoid robots. NVIDIA is a semiconductor company based in Santa Clara, and its products and services include graphics processing units.

The companies are working together to develop a high-performance robotic edge runtime for Humanoid’s next-generation robots. These capabilities will be critical as humanoid robots move from controlled environments toward large-scale, real-world deployment. As part of this work, Humanoid is integrating Nvidia’s latest robotics and edge computing technologies, including Nvidia Jetson Thor, Nvidia Isaac OS, Nvidia Holoscan Sensor Bridge and Holoscan SDK (the toolkit a developer builds on a platform with). Nvidia technologies already play an important role across Humanoid’s development stack. Since its early days, Humanoid has used Nvidia Isaac Lab and Nvidia Isaac Sim open frameworks to train and simulate models before deploying them on physical robots, creating a connected workflow from training and simulation through to real-world operation. A key part of the new architecture is Nvidia Jetson Thor onboard compute. Humanoid is also integrating Nvidia Holoscan Sensor Bridge to create a faster path between the robot’s sensors and its AI models.