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NVIDIA Announces Next Gen OVX Computing Systems for 3D Virtual World Building




NVIDIA just announced the second generation of NVIDIA OVX™Powered by next-generation GPU architecture and optimized networking technology, to build 3D virtual worlds Using leading 3D software applications and for immersive playback digital twin simulation in NVIDIA Omniverse Enterprise A comprehensive, scalable platform that enables companies to build and run metaverse applications.

Launched last March, the NVIDIA OVX is a computing system designed to power Omniverse digital twins at scale, and will be delivered to some of the world’s most advanced design and engineering teams at companies such as BMW Group and Jaguar Land Rover.

“Large-scale digital twins are redefining how nearly every industry plans, designs and builds in the physical world,” said Bob Pett, Vice President of Professional Visualization at NVIDIA. “NVIDIA OVX will provide the next generation of computing power needed for the most complex digital twins of entire factories, buildings, and cities.”

The NVIDIA® L40 GPU powers the new OVX systems, based on NVIDIA’s next-generation GPU architecture, which delivers high levels of power and performance for building complex industrial digital twins.

The 3rd generation L40 GPU RT cores and 4th generation Tensor Cores will provide powerful capabilities for Omniverse workloads running on OVX, including accelerated ray rendering and material tracing, physically accurate simulation, and photorealistic 3D synthetic data generation. The L40 will also be available in NVIDIA-Certified System™ Servers from major OEM vendors for running RTX workloads from the data center.

In addition to the L40 GPU, the new NVIDIA OVX includes the NVIDIA ConnectX®-7 SmartNIC, providing improved network and storage performance and accurate timing synchronization required for real-world digital twins. ConnectX-7 includes support for 200G networks on each port and fast data-in-line encryption to speed data traffic and increase security for digital twins.

Accredited Worldwide Accelerate Performance

BMW Group and Jaguar Land Rover will be among the first to be equipped with the power of the new systems.

“Planning for our future plants begins with the construction of modern digital twins using the NVIDIA Omniverse,” said Jürgen Wittmann, Head of Innovation and Virtual Production at BMW Group. “Using NVIDIA OVX systems to power our dual digital workloads will provide the performance and scale needed to develop realistic, large-scale models of our plants and run realistic simulations.


It will transform our manufacturing, design and production processes. “

“NVIDIA OVX and DRIVE Sim provide a powerful platform that enables us to simulate a wide range of real-world driving scenarios to safely and efficiently test the next generation of connected and autonomous vehicles as well as recreate the customer journey to demonstrate vehicle features,” said Alex Hyslop, Director of Electrical, Electronic and Software Engineering at NVIDIA. Jaguar Land Rover. “Using this technology to generate large amounts of high-resolution, physically accurate scenarios in a scalable and cost-effective manner will accelerate our progress toward our goal of an accident-free, lower-congestion future.”

computing system specification

Each OVX server node combines eight NVIDIA L40 GPUs and three NVIDIA ConnectX-7 network adapters, providing the power of 100/200/400G networks. For Omniverse workloads that require a higher level of performance and scale, servers can be deployed in NVIDIA OVX POD and SuperPOD configurations with the NVIDIA Spectrum™-3 Ethernet system.


Second-generation NVIDIA OVX systems will be available from Inspur, Lenovo, and Supermicro by early 2023, and will be introduced by GIGABYTE, H3C, and QCT in the future.

Learn more about NVIDIA OVX, Watch the keynote speech by NVIDIA founder and CEO Jensen Huang for the GTC 2022.

Register for GTC for free To attend sessions with NVIDIA and industry leaders.

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Dan Sarto is the publisher and editor-in-chief of the Animation World Network.


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