Workflow
NVIDIA Jetson™
icon
Search documents
NVIDIA and Global Robotics Leaders Take Physical AI to the Real World
Globenewswire· 2026-03-16 20:41
NVIDIA and Global Robotics Leaders NVIDIA is partnering with the global robotics ecosystem — including leading robot brain developers, industrial robot giants and humanoid pioneers — to power production-scale physical AI. Image Credit: ABB Robotics (Top Left), Humanoid (Top Right), Skild AI(Bottom Left), Universal Robots (Bottom Right) News Summary: Physical AI leaders across robot brain developers, industrial, and surgical robot giants and humanoid pioneers including ABB Robotics, AGIBOT, Agility, CMR ...
NVIDIA and Global Industrial Software Giants Bring Design, Engineering and Manufacturing Into the AI Era
Globenewswire· 2026-03-16 20:40
Core Viewpoint - NVIDIA is collaborating with leading industrial software companies to integrate its GPU-accelerated tools and platforms into various industries, aiming to revolutionize design, engineering, and manufacturing processes through AI and digital twins [2][4][19]. Group 1: Partnerships and Collaborations - NVIDIA is partnering with Cadence, Dassault Systèmes, PTC, Siemens, and Synopsys to deliver NVIDIA CUDA-X and Omniverse technologies to major companies like FANUC, Honda, and TSMC, enhancing their design and manufacturing capabilities [2][19]. - The collaboration aims to prepare customers for the next phase of the AI era by introducing NVIDIA-powered agentic solutions [2][4]. Group 2: AI and Accelerated Computing - The integration of agentic AI into industrial workflows is expected to streamline complex design and manufacturing processes, marking a significant shift in industrial engineering [5][6]. - NVIDIA's NeMo platform and CUDA-X libraries are being utilized to develop autonomous design agents that enhance efficiency in chip and system workflows [6][21]. Group 3: Industry Applications - In the automotive sector, NVIDIA is working with Siemens and Synopsys to provide GPU-accelerated tools that significantly reduce simulation times, enabling faster vehicle design iterations [6][7]. - Aerospace engineering is benefiting from NVIDIA-accelerated solvers, allowing for high-fidelity simulations that were previously impractical, thus unlocking new design possibilities [9][10]. Group 4: Energy and Semiconductor Innovations - Energy companies are adopting NVIDIA's GPU-accelerated workflows to enhance simulation turnaround times, contributing to cleaner energy solutions [11][12]. - In semiconductor design, industry leaders like Samsung and SK hynix are leveraging NVIDIA tools to streamline production processes, achieving significant improvements in efficiency [13][14][22]. Group 5: Digital Twins and Manufacturing - NVIDIA and its partners are advancing the digitalization of manufacturing through high-fidelity digital twins, which connect virtual planning with real-world execution [23][24]. - Companies like Krones and KION are utilizing NVIDIA technologies to create AI-driven digital twins that enhance operational efficiency in manufacturing and logistics [25][27].