Jacobs releases digital twin solution for AI data centers
Solution to improve speed to revenue, energy performance and operations and maintenance for AI data centers
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.
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 →
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