At his COMPUTEX 2025 keynote, NVIDIA founder and CEO Jensen Huang made several announcements on AI, robotics and Omniverse platforms, propelling advancements across healthcare, robotics and manufacturing.
Industrial AI and Robotics
NVIDIA Powers Humanoid Robot Industry With Cloud-to-Robot Computing Platforms for Physical AI
NVIDIA has launched the Isaac GR00T Humanoid Open Models for download on Hugging Face, along with the GR00T-Dreams Blueprint for training robot reasoning; RTX PRO 6000 Blackwell Workstations and RTX PRO Servers are accelerating robot simulation and training, and robot makers including Agility Robotics, Boston Dynamics, Foxconn, Lightwheel, NEURA Robotics, and XPENG Robotics are adopting NVIDIA Isaac.
NVIDIA is making the AI Blueprint for video search and summarisation (VSS), powered by the NVIDIA Metropolis platform, generally available — giving developers the tools to create and deploy highly capable AI agents for analysing vast sums of real-time and archived videos.
Healthcare
Foxconn Taps NVIDIA to Accelerate Physical and Digital Robotics for Global Healthcare Industry
The world’s largest electronics manufacturer is building smart hospital solutions using NVIDIA technologies from the data centre to the edge.
Healthcare organisations are tackling the industry’s toughest challenges by adopting NVIDIA physical and digital robotics technologies, enabled by top Taiwanese computer makers.
Omniverse
NVIDIA Omniverse Digital Twins Help Taiwan Manufacturers Drive Golden Age of Industrial AI
Blueprints for building autonomous manufacturing facilities offer transformative advances for development of trillion-dollar industries.
NVIDIA has expanded its Omniverse Blueprint for AI factory digital twins, now integrating industry-leading partners and advanced simulation tools to enable engineering teams to accurately design, simulate, and optimise entire AI factories in virtual environments, streamlining development and improving reliability for next-generation AI infrastructure.
Watch the COMPUTEX keynote from Huang and learn more at NVIDIA GTC Taipei.