Home » NVIDIA launches omniverse computing system for industrial digital twins

NVIDIA launches omniverse computing system for industrial digital twins

by Sion Geschwindt
A digital train in motion

NVIDIA has announced the launched of 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.

According to NVIDIA, 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 synchronisation 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 optimise, expand, or create more efficient factories and warehouses or train robots and autonomous vehicles before deploying them in the physical world.

Bob Pette, vice president of Professional Visualisation at NVIDIA, said: “Physically accurate digital twins are the future of how we design and build.

“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.”

Within the sector initiative “Digitale Schiene Deutschland” (Digital Rail for Germany), DB Netze is building a digital twin of Germany’s national railway network in NVIDIA’s Omniverse.

Annika Hundertmark, head of Railway Digitisation at DB Netze, commented: “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.

“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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