Jacobs Solutions Launched NVIDIA-Powered Digital Twin
The platform simulates complex data center operations to optimize energy use and accelerate facility timelines.
Updated on Sept. 30, 2026 in Data Centers

Live Poll
Do you trust that new AI data center technologies will significantly reduce long-term energy consumption?
Jacobs Solutions introduced a new data center digital twin platform at the NVIDIA GTC 2026 conference on March 16, 2026. This technology integrates computing, cooling, and power management to improve operational efficiency.
Why it matters
The platform aims to reduce energy consumption in large-scale facilities and speed up the transition from initial blueprints to revenue-generating operations. It serves as a tool to address the increasing demand for high-capacity data center infrastructure.
The digital twin utilizes the NVIDIA Omniverse DSX blueprint to simulate facility operations. Jacobs plans to expand the platform with standardized designs supporting data centers ranging from 250-megawatts to gigawatt-scale.
The players
Jacobs Solutions
This is a professional services company that trades on the NYSE under the ticker J.
NVIDIA
This technology corporation specializes in designing graphics processing units and artificial intelligence hardware.
Jensen Huang
He is the chief executive officer of NVIDIA who delivered the keynote address at the company's 2026 conference.
The details
The software creates virtual replicas of data centers to identify cooling inefficiencies and monitor energy consumption levels before physical construction begins. Jacobs began collaborating with NVIDIA on the project in 2025 to develop these simulation capabilities.
Timeline
Collaboration between Jacobs and NVIDIA began in 2025.
The platform debuted at the NVIDIA GTC 2026 conference on March 16, 2026.
This report was published on September 30, 2026.
The Tech Race
The shift toward virtualized facility management reflects a wider industry transition from manual design to automated simulation. Jacobs positions itself against engineering rivals by leveraging high-performance compute blueprints to handle increasing infrastructure complexity.
By optimizing data center efficiency, the platform may eventually support more reliable and cost-effective digital services for the average user. Developers and infrastructure planners can expect improved workflows that reduce the time required to bring new compute capacity online.
The takeaway
Digital twins are becoming an essential component in managing the energy-intensive demands of modern data infrastructure. Implementing these simulations early in the design cycle provides a scalable method for balancing rapid expansion with long-term efficiency goals.
Further reading
Learn more about evolving infrastructure management on the Data Centers page.
Live Poll
Do you trust that new AI data center technologies will significantly reduce long-term energy consumption?










