Jacobs has been selected by NVIDIA to deploy its Data Center Digital Twin for a large-scale AI research and development facility in the United States under a three-year software-as-a-service contract. Built on NVIDIA Omniverse libraries, the platform integrates engineering models, operational technology and live facility data to support dynamic power load balancing, energy forecasting, liquid coolant leak detection, predictive maintenance and operator training.

Jacobs Secures Three-Year Contract with NVIDIA

Jacobs announced it has been selected by NVIDIA to deploy its Data Center Digital Twin for a large-scale AI research and development facility in the United States. The three-year software-as-a-service contract positions Jacobs to deliver advanced operational planning capabilities for one of NVIDIA's most critical artificial intelligence research and development facilities.

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The agreement marks a significant step in addressing the growing complexity of managing AI infrastructure as digital facilities scale rapidly.

Real-Time Digital Twin Environment Built on NVIDIA Omniverse Libraries

The Data Center Digital Twin creates a real-time digital twin environment that allows operators to simulate scenarios while monitoring and optimizing AI facility performance. Built on NVIDIA Omniverse libraries, the platform integrates engineering models, operational technology and live facility data into a single operational platform.

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This integration gives facility operators greater visibility into infrastructure performance, enabling them to make data-driven decisions in real time. The solution addresses the urgent need for smarter, more connected approaches to optimize AI facility performance as digital infrastructure expands.

Advanced Use Cases for Dynamic Power Load Balancing and Energy Management

The digital twin solution will support multiple predictive and simulation-driven use cases including dynamic power load balancing, energy forecasting, liquid coolant leak detection monitoring, predictive maintenance and operator training.

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Teams can model changing AI workloads to better understand power availability and cooling performance, which is critical as AI infrastructure demands continue to surge. "As digital infrastructure rapidly scales, operators need smarter and more connected ways to optimize performance and manage energy demand, while improving resiliency," said Amer Battikhi, Jacobs Executive Vice President.

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Developing an AI-Powered Operating System for Facilities

Jacobs is developing the Data Center Digital Twin into an operating system for AI facilities where AI agents learn from facility data to predict conditions and recommend actions.

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This evolution represents a shift from passive monitoring to active, intelligent operational planning. The platform's ability to process live facility data and generate predictive insights positions it as a critical tool for managing the next generation of high-performance computing environments.

Expanding Portfolio of High-Performance Computing Projects

Beyond the NVIDIA partnership, Jacobs is delivering high-performance computing environments for Hut 8 in the United States, SINES DC Campus by Start Campus in Portugal and PsiQuantum in Australia.

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This growing portfolio demonstrates Jacobs' position in the AI infrastructure sector. With approximately $12 billion in annual revenue and a workforce of approximately 47,000 employees, Jacobs provides services across advanced manufacturing, cities, energy, environmental, life sciences, transportation and water sectors.

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Watch how software-as-a-service contract models reshape facility management as AI workloads intensify and energy demands escalate across the industry.

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