Jacobs releases digital twin solution for AI data centers

Jacobs (NYSE: J) launched a Data Center Digital Twin for gigawatt-scale AI data centers to accelerate planning, simulation and optimization across compute, power, cooling and operations.

Rhea-AI Summary

Jacobs (NYSE: J) launched a Data Center Digital Twin for gigawatt-scale AI data centers to accelerate planning, simulation and optimization across compute, power, cooling and operations.

The solution, built on the NVIDIA Omniverse DSX blueprint, offers a modular reference design, virtual commissioning and a first module now available for owners and operators. Future plans include a 250-megawatt blueprint for broader use.

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News Market Reaction – J

On Mar 17, the first trading day after this news, J closed 1.20% above the previous close.

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Key Figures

Data center scale: Gigawatt-scale AI data centers Smaller data center design: 250 megawatt Annual revenue: $12 billion +1 more

Data center scale

Gigawatt-scale AI data centers

Reference design and simulations target very large AI facilities

Smaller data center design

250 megawatt

Planned blueprint for smaller AI data centers

Annual revenue

$12 billion

Jacobs company overview in release

Workforce

43,000 employees

Talent force cited in company overview

Previous AI Reports

1 past event · Latest: May 19

Same Type 1 event

1. May 19

   AI data center blueprint

   24h Move

   -0.3%

   Announced NVIDIA Omniverse-based AI data center digital twin collaboration.

24h Move is the share-price change in the day after each event; other market factors may also have contributed.

Key Terms

digital twin, ai data centers, nvidia omniverse dsx blueprint, high-performance computing

4 terms

digital twin technical

"has released a Data Center Digital Twin solution that enables developers and owners"

A digital twin is a live virtual replica of a physical asset, process, or system that mirrors real-world behavior using data and models so users can test changes, predict problems, and measure performance without touching the real thing. For investors, digital twins matter because they can lower maintenance costs, speed product development, improve uptime and reliability, and make future cash flows and risks easier to forecast — like using a flight simulator to safely train and tune a real airplane.

ai data centers technical

"optimize gigawatt-scale artificial intelligence (AI) data centers in a virtual environment"

AI data centers are specialized facilities built to store massive datasets and run powerful processors that train and operate artificial intelligence models — think of them as factories designed specifically for building and running AI. They matter to investors because they require large, ongoing capital and energy investments while driving revenue for cloud and chip providers; changes in demand, costs, or regulation can materially affect returns and company valuation.

nvidia omniverse dsx blueprint technical

"developed using the NVIDIA Omniverse DSX blueprint, combines a standardized reference"

An Omniverse DSX Blueprint is a ready-made software template used to build interactive 3D simulations, virtual prototypes, or digital twins that link real-world data, AI models, and visualization tools. Think of it as a pre-built recipe and set of wiring diagrams that speed up assembling a complex virtual environment; investors care because these blueprints can shorten development time, reduce engineering costs, and make it easier for businesses to deploy advanced simulation and AI capabilities that could drive future revenue or efficiency gains.

high-performance computing technical

"delivery of high-performance computing environments for organizations like NVIDIA, Hut 8"

A cluster of very powerful computers, special chips and fast networks designed to tackle huge, complex calculations far faster than a normal PC — like replacing a single delivery van with a synchronized fleet to move a city’s worth of packages. For investors, high-performance computing matters because it enables faster product development, more accurate simulations and data analysis, and new revenue streams for hardware, software and services, making firms that supply or use it potentially more competitive and scalable.

AI-generated analysis. How Rhea-AI works. Not financial advice.

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Solution to improve speed to revenue, energy performance and operations and maintenance for AI data centers

DALLAS, March 16, 2026 /PRNewswire/ -- Jacobs (NYSE: J) has released a Data Center Digital Twin solution that enables developers and owners to plan, simulate and optimize gigawatt-scale artificial intelligence (AI) data centers in a virtual environment – improving speed to market, energy performance and long-term operations.

The digital twin solution, developed using the NVIDIA Omniverse DSX blueprint, combines a standardized reference design for a gigawatt-scale artificial intelligence (AI) data center with a hyper-realistic virtual environment, along with advanced simulations of compute, power and cooling systems, to serve as a real-time virtual twin of an AI data center.

The solution allows for secure integration of components inside and outside the data center, from on-premises power configurations to cutting-edge simulations of indoor airflow. By integrating compute, power, cooling, water systems and site specifics, the solution provides visibility from early planning through virtual commissioning, operations and maintenance.

Jacobs Chair and Chief Executive Officer Bob Pragada said: "Advanced facilities are becoming increasingly complex and costly to build, and as AI infrastructure scales to the gigawatt level, owners need greater certainty before committing capital. With our deep knowledge, global workforce and decades of delivering the world's most advanced facilities, we're creating solutions that help owners plan more efficiently, improve performance and achieve more secure and resilient long-term operations."

The first module of the digital twin is available for owners and operators. Future functionality is expected to deliver value across the asset lifecycle from planning and design through commissioning and construction. Future designs of the solution aim to provide a blueprint for smaller, 250-megawatt data centers, allowing for wider industry use.

The digital twin's modular reference design enables rapid, repeatable deployment of gigawatt-scale facilities in the physical world. The reference design and digital twin solution are key components of the NVIDIA Omniverse DSX blueprint, a comprehensive framework for creating and operating gigawatt-scale AI data centers.

Jacobs supports some of the world's largest providers across advanced technology industries including data centers, electronics, semiconductors, life sciences and specialized manufacturing. The company is currently involved in the delivery of high-performance computing environments for organizations like NVIDIA, Hut 8 and PsiQuantum. From climate risk to tightening regulations to accelerated schedules, Jacobs' integrated project delivery model helps enterprises stay one step ahead. Learn more →

At Jacobs, we're challenging today to reinvent tomorrow – delivering outcomes and solutions for the world's most complex challenges. With approximately $12 billion in annual revenue and a talent force of almost 43,000, we provide end-to-end services in advanced manufacturing, cities & places, energy, environmental, life sciences, transportation and water. From advisory and consulting, feasibility, planning, design, program and lifecycle management, we're creating a more connected and sustainable world. See how at jacobs.com and connect with us on LinkedIn, Instagram, X and Facebook. 

Certain statements contained in this press release constitute forward-looking statements within the meaning of the Private Securities Litigation Reform Act of 1995. Forward-looking statements are statements that do not directly relate to any historical or current fact. When used herein, words such as "expects," "anticipates," "believes," "seeks," "estimates," "plans," "intends," "future," "will," "would," "could," "can," "may," and similar words are intended to identify forward-looking statements. We base these forward-looking statements on management's current estimates and expectations, as well as currently available competitive, financial and economic data. Forward-looking statements, however, are inherently uncertain. There are a variety of factors that could cause business results to differ materially from our forward-looking statements including, but not limited to, uncertainties as to, the timing of the award of projects and funding and potential changes to the amounts provided for under the Infrastructure Investment and Jobs Act and other legislation and executive orders related to governmental spending, including any directive to federal agencies to reduce federal spending or the size of the federal workforce, and changes in U.S. or foreign tax laws, including the tax legislation enacted in the U.S. in July 2025, statutes, rules, regulations or ordinances, including the impact of, and changes to tariffs and retaliatory tariffs or trade policies, that may adversely impact our future financial positions or results of operations, as well as general economic conditions, including inflation and the actions taken by monetary authorities in response to inflation, changes in interest rates and foreign currency exchange rates, changes in capital markets, the possibility of a recession or economic downturn, and increased uncertainty and risks, including policy risks and potential civil unrest, relating to the outcome of elections across our key markets and elevated geopolitical tension and conflicts, among others. For a description of these and additional factors that may occur that could cause actual results to differ from our forward-looking statements, see our filings with the U.S. Securities and Exchange Commission. The company is not under any duty to update any of the forward-looking statements after the date of this press release to conform to actual results, except as required by applicable law.

For press/media inquiries:
media@jacobs.com  

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SOURCE Jacobs

FAQ

AI-generated questions and answers. How Rhea-AI works. Not financial advice.

What is Jacobs' Data Center Digital Twin and how does it help AI data center owners (J)?

The Digital Twin is a virtual model to plan and optimize gigawatt-scale AI data centers. According to the company, it integrates compute, power, cooling and site specifics to improve speed to market, energy performance and long-term operations across the asset lifecycle.

When is Jacobs' Digital Twin for AI data centers (J) available to owners and operators?

The company says the first module of the Digital Twin is available now for owners and operators. Future functionality is expected to expand through commissioning and operations, with planned designs down to 250 megawatts for wider industry use.

How does the NVIDIA Omniverse DSX partnership factor into Jacobs' digital twin (J)?

Jacobs built the solution using the NVIDIA Omniverse DSX blueprint to enable hyper-realistic virtual environments. According to the company, this provides advanced simulations and a standardized reference design for gigawatt-scale AI facilities.

Will Jacobs' digital twin reduce construction risk or speed to revenue for AI data centers (J)?

Jacobs positions the digital twin to increase planning certainty and speed to market for AI data centers. According to the company, virtual commissioning and integration of systems aim to reduce uncertainty before capital commitments.

Does Jacobs' announcement mention specific clients or projects using the digital twin (J)?

Jacobs cites involvement with organizations like NVIDIA, Hut 8 and PsiQuantum across advanced computing projects. According to the company, it supports delivery of high-performance computing environments for major providers.

How does the digital twin address energy performance and operations for gigawatt AI data centers (J)?

The solution simulates compute, power, cooling and indoor airflow to optimize energy performance and operations. According to the company, integrating these systems provides visibility from planning through long-term maintenance and operations.