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Jacobs deploys digital twin at NVIDIA R&D facility under three-year SaaS deal

Jacobs has been selected by NVIDIA to deploy its Data Center Digital Twin at a large-scale AI research and development facility in the United States. The three-year software-as-a-service agreement covers one of NVIDIA's most advanced AI R&D sites. Built on NVIDIA Omniverse libraries, the platform integrates engineering models, operational technology, and live facility data into a single…

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Key points

  • Jacobs wins three-year SaaS deal to deploy Data Center Digital Twin at NVIDIA US AI R&D facility
  • Platform built on NVIDIA Omniverse supports power balancing, leak detection, predictive maintenance
  • Jacobs aims to evolve digital twin into autonomous AI factory operating system with AI agents

The digital twin will support power balancing, energy forecasting, liquid coolant leak detection, predictive maintenance, and operator training. Teams can model changing AI workloads to understand power availability and cooling performance. Jacobs says it is evolving the digital twin into an intelligent operating system for AI factories where AI agents continuously learn from facility data to predict conditions and optimize operations with increasing autonomy. The award builds on previous collaboration between Jacobs and NVIDIA on digital twin technology for AI infrastructure.

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  1. Jacobs deploys digital twin at NVIDIA R&D facility under three-year SaaS dealthis story
Full story from engineering.com · by Srabanti Chakraborty · via Search: NVIDIAOpen source ↗

Jacobs to deploy digital twin at NVIDIA R&D facility

engineering.com · 5 October 2026

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This text was published by engineering.com and written by Srabanti Chakraborty. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗

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The headline, key points and digest above were generated by Digest AI's editorial model from the linked sources. Automated summaries can contain errors: the sources are the record. Spotted a mistake? Tell us. Published by Martin K., who runs Digest AI and handles corrections.

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