Jacobs was highlighted during the keynote presentation at the NVIDIA GPU Technology Conference (GTC) 2026, where Jensen Huang, CEO of NVIDIA, showcased the company’s data center digital twin technology designed to support the development of large-scale artificial intelligence infrastructure.
The innovation forms part of the NVIDIA Omniverse DSX Blueprint, which now incorporates the Jacobs Data Center Digital Twin solution to help developers and operators design and optimize gigawatt-scale AI data centers, often referred to as AI factories.
Virtual environment for AI data center design
The solution allows developers to plan, simulate, and test AI data centers in a hyper-realistic virtual environment before physical construction begins.
Using advanced modeling tools within the NVIDIA Omniverse platform, the digital twin integrates simulations of critical infrastructure components such as:
- Compute and processing systems
- Power distribution networks
- Cooling infrastructure
- Data center operational workflows
This virtual model acts as a real-time digital representation of the facility, enabling developers to evaluate performance, detect potential issues early, and optimize design efficiency.
Accelerating time to revenue for AI facilities
One of the key benefits of the Jacobs AI data center digital twin is its ability to reduce development timelines for large AI facilities.
By testing designs virtually, developers can:
- Accelerate project planning and construction phases
- Improve energy efficiency and cooling performance
- Minimize operational risks before deployment
- Optimize long-term maintenance strategies
These capabilities are particularly important for gigawatt-scale AI data centers, which require significant power, cooling, and infrastructure coordination.
Collaboration across the AI ecosystem
During his keynote, Jensen Huang emphasized the importance of collaboration between technology providers and infrastructure experts.
He highlighted partners such as Jacobs for helping integrate engineering expertise with NVIDIA’s simulation technologies to build more resilient and efficient AI infrastructure.
The joint solution aims to help data center developers manage complex facilities while supporting the rapid growth of AI computing workloads worldwide.
Supporting the future of AI infrastructure
As demand for artificial intelligence processing continues to grow, data centers are becoming larger, more complex, and more energy-intensive.
Technologies like the Jacobs Data Center Digital Twin, combined with platforms such as NVIDIA Omniverse, are expected to play a critical role in helping organizations design and operate next-generation AI factories more efficiently and sustainably.
