NVIDIA Launches Data-Center-Scale Omniverse Computing System for Industrial Digital Twins

NVIDIA OVX Purpose-Built to Simulate Massively Complex Applications Across Robotics, AI, Industrial Automation and More

NVIDIA announced NVIDIA OVX, a computing system designed to power large-scale digital twins.

NVIDIA OVX is purpose-built to operate complex digital twin simulations that will run within NVIDIA Omniverse™, a real-time physically accurate world simulation and 3D design collaboration platform.

The OVX system combines high-performance GPU-accelerated compute, graphics and AI with high-speed storage access, low-latency networking and precision timing to provide the performance required for creating digital twins with real-world accuracy. OVX will be used to simulate complex digital twins for modeling entire buildings, factories, cities and even the world.

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“Physically accurate digital twins are the future of how we design and build,” said Bob Pette, vice president of Professional Visualization at NVIDIA. “Digital twins will change how every industry and company plans. The OVX portfolio of systems will be able to power true, real-time, always-synchronous, industrial-scale digital twins across industries.”

OVX will enable designers, engineers and planners to build physically accurate digital twins of buildings or create massive, true-to-reality simulated environments with precise time synchronization across physical and virtual worlds. Companies can evaluate and test complex systems and processes with multiple autonomous systems interacting in the same space-time to optimize, expand or create more efficient factories and warehouses or train robots and autonomous vehicles before deploying them in the physical world.

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Developing Digital Twins

Within the sector initiative “Digitale Schiene Deutschland” (Digital Rail for Germany), DB Netze is building in Omniverse a digital twin of Germany’s national railway network to train systems for automatic train operation and enable AI-enhanced predictive analysis for unforeseen situations in railway operations.

“Using a photorealistic digital twin to train and test AI-enabled trains will help us develop more precise perception systems to optimally detect and react to incidents,” said Annika Hundertmark, head of Railway Digitization at DB Netze. “In our current project, NVIDIA OVX will provide the scale, performance and compute capabilities that we need to generate data for intensive machine learning development and operate these highly complex simulations and scenarios.”

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