At NVIDIA GTC 2026, ASUS and Hugging Face announced a strategic collaboration aimed at making AI-powered robotics more accessible by introducing Reachy Mini, a tabletop robot integrated with the ASUS Ascent GX10 desktop AI supercomputer powered by NVIDIA’s advanced AI infrastructure. The initiative tackles the long-existing challenges in the development of robotics, including the associated costs and need for data center-scale computing, through the ability to create and run embodied AI applications on the developer’s own desk. The ASUS Ascent GX10, with the NVIDIA GB10 Grace Blackwell superchip, provides a solution with 1 PFLOP of AI compute and 128 GB of unified memory, thus eliminating the need for the cloud and enhancing real-time inference. This helps the Reachy Mini to be used as an interactive AI agent with the ability to perceive, think, and talk in the real world.
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Jeff Boudier, VP of Product at Hugging Face, emphasized the platform’s capabilities, stating, “The ASUS Ascent GX10 is the ideal compute platform to run AI models right from your desk,” and added that when paired with Reachy Mini, it enables applications that “can reason, see, listen and speak back – without compromising privacy or performance.” Highlighting the broader vision, Yen Hoang, Director of Marketing at ASUS North America, said, “Hugging Face brings together the world’s most passionate open-source communities, and ASUS is powering it with the Ascent GX10 and the NVIDIA AI software stack,” further noting that the collaboration provides developers with a complete ecosystem from compute to models to accelerate innovation. The companies also presented live demos at GTC, showing how their joint solution makes it possible to have a fully operational desktop AI assistant. Besides that, ASUS is giving a special discount to developers who use the platform. The discount is a limited-time offer. That shows, even more, they’re going to a great length to increase the adoption. Together this partnership marks a big step in making AI at the edge more decentralized, where developers and businesses in a large community will be able to work with AI based on the edge in a more efficient and safe way.
