Jacobs to Deploy Data Center Digital Twin at NVIDIA’s AI Research Facility
Jacobs has secured a three-year agreement with NVIDIA to deploy its Data Center Digital Twin technology at a major artificial intelligence research and development facility in the United States.
The software platform will help NVIDIA improve energy efficiency, monitor critical infrastructure and strengthen operational planning.
In addition, the project will support more advanced management of power, cooling and computing workloads across the facility.
Jacobs Data Center Digital Twin Uses NVIDIA Omniverse
The Jacobs Data Center Digital Twin platform uses NVIDIA Omniverse libraries to create a real-time digital environment.
The technology combines engineering models, operational systems and live facility data into a single platform.
As a result, operators can monitor infrastructure performance, simulate different conditions and identify opportunities to improve efficiency.
The system also allows teams to test operational scenarios before making changes to physical infrastructure.
This approach can help data center operators manage complex facilities while reducing operational risks.
Digital Twin Technology Supports Energy Optimization
Energy management is a major focus of the NVIDIA deployment.
The platform will support several predictive and simulation-based applications, including:
- Dynamic power load balancing
- Energy demand forecasting
- Liquid coolant leak detection and monitoring
- Predictive equipment maintenance
- Operator training and simulation
Furthermore, teams will be able to model changing AI computing workloads.
These simulations can help operators understand how different workloads affect power availability and cooling performance.
Jacobs Expands AI Infrastructure Management Capabilities
Jacobs Executive Vice President Amer Battikhi highlighted the growing need for intelligent infrastructure management as AI computing demand increases.
“As digital infrastructure rapidly scales, operators need smarter and more connected ways to optimize performance and manage energy demand, while improving resiliency,” Battikhi said.
He added that combining real-time data with simulation technology can help NVIDIA advance AI infrastructure management.
The project also reflects the growing use of digital twins to monitor and manage critical infrastructure.
AI Agents Could Enable More Autonomous Data Center Operations
Beyond monitoring and simulation, Jacobs is developing its digital twin technology into a more intelligent operating platform for AI factories.
The company aims to integrate AI agents that continuously learn from facility data.
These agents could help predict operating conditions, recommend corrective actions and improve infrastructure performance.
Over time, Jacobs expects the technology to support increasingly autonomous data center operations.
However, the current deployment will focus on improving visibility, operational planning and simulation-driven decision-making.
Jacobs Strengthens Global Data Center Project Portfolio
The NVIDIA agreement builds on Jacobs’ existing work in digital infrastructure and advanced computing facilities.
The company is also supporting high-performance computing projects for several international clients.
These include Hut 8 in the United States, the SINES DC Campus by Start Campus in Portugal and PsiQuantum’s quantum computing facility in Australia.
Through these projects, Jacobs continues to expand its involvement in infrastructure supporting AI and advanced computing technologies.
Digital Twins Gain Importance in AI Data Centers
As AI workloads become more demanding, data center operators face increasing pressure to manage electricity consumption, cooling systems and infrastructure reliability.
Digital twin technology offers a way to understand these interconnected systems through real-time data and simulations.
The NVIDIA deployment will allow Jacobs to apply these capabilities within a large-scale AI research environment.
Ultimately, the project aims to demonstrate how digital twins can support more efficient, resilient and intelligent data center operations.
