Acquired by Cadence Design in 2022, Future Facilities electronics cooling analysis and energy performance optimization can help data centers build a comprehensive digital twin of their
The first step in creating a digital twin model of your data center is to input physical data, such as IT asset lists, Computer-aided Design (CAD) floorplans, and branch circuit monitoring data, into our simulation software solution.
That''s where the digital twin comes in. Data center operators are building 3 data centers for every 2 data centers they need. Find our more about how the digital twin can maximize your data center performance.
A digital twin is a virtual or digital representation of a physical asset, object, or manufacturing process. Its intended purpose is to continuously learn and provide data insights around vast operations. Let''s use GE as an example.
Data centers get their own digital twins. Subhankar Pal, AVP of technology and innovation at Capgemini Engineering, explains that a digital twin is a 3D virtual replica of your data center that can simulate its behavior under any operating scenario.
In this whitepaper, discover the revolutionary role of digital twins, a modernized approach to DCIM for the dynamic industry of today, including: Providing strategic insights to empower informed decision-making.
What is a data centre digital twin? A digital twin replicates the behaviour and processes of a physical data centre. The technology has gained popularity because it can simulate scenarios and predict performance, efficiency and reliability. Digital twin benefits for the data centre.
Digital twin technology has revolutionised the way data centres operate, offering unparalleled insights into infrastructure and enabling optimisation of performance, leading to greater efficiency, sustainability, and overall success.
A digital twin acts as a virtual testbed for change planning, offering remote situational awareness of the data center''s current and planned future states. It also serves as a platform for knowledge transfer and learning in a controlled environment where mistakes do not impact live systems.
With CFD simulation data introduced to the digital twin, future capabilities of Omniverse data center digital twins will allow an AI/ML model to be trained on this data as well as the digital twin to be an interface for designers to visualize and evaluate what-if design scenarios.