– The digital twin provides enhanced insight and control over the electrical systems and energy needs of an AI factory.
– The product collaboration integrates ETAP’s advanced digital twin technology with NVIDIA Omniverse™ Cloud APIs.
– Operators can benefit from improved energy efficiency, predictive maintenance, and lower total cost of ownership.
Boston (USA), March 18, 2025 – Schneider Electric, a leader in digital transformation for energy management and automation, and ETAP, an industry and technology leader in the design and operation of energy systems, are introducing an innovative digital twin that can accurately design and model the energy needs of artificial intelligence factories (or AI factories). Using the NVIDIA Omniverse™ Blueprint for AI Factory Digital Twins, Schneider Electric and ETAP are enabling the development of digital twins that combine multiple inputs for mechanical, thermal, network, and electrical systems to simulate how an AI factory operates. This collaboration aims to transform the design and operation of AI factories by providing improved understanding and control over electrical systems and energy needs, opening up opportunities for significant advances in efficiency, reliability, and sustainability.
Previously, basic visualization of electrical systems was possible, but the integration of ETAP and NVIDIA Omniverse technologies enables a comprehensive digital twin of an AI factory where multiple speakers interact seamlessly. ETAP’s sophisticated modeling technology creates a virtual replica of the data center’s electrical infrastructure and combines it with real-time power system data, advanced analytics, and insights. Intelligent algorithms analyze and predict energy consumption and distribution patterns, providing unprecedented insights:
– Advanced design and modeling of electrical systems
– Dynamic analysis of “what if” scenarios
– Real-time monitoring of electrical infrastructure performance
– Optimization of energy efficiency
– Predictive maintenance and system reliability assessment
– Infrastructure needs based on energy usage, which can help reduce total cost of ownership
Regardless of where it is deployed, whether in specialized high-end AI clusters or edge solutions, AI is driving a rapid increase in data center capacity. Unlike traditional computing tasks, AI tasks require a significant increase in electrical power, both for a single server rack (100 kW or more) and for the data center as a whole.
As the adoption of AI accelerates, startups, enterprises, colocation providers, and Internet giants must rethink data center design and management to address the growing need for energy efficiency.
ETAP and NVIDIA’s collaboration introduces an innovative network-to-chip approach that addresses the critical challenges of energy management, performance optimization, and energy efficiency in the AI era. Currently, data center operators have access to rack-level estimates of average energy consumption, but the new digital twin of ETAP aims to increase the accuracy of modeling dynamic load behavior at the chip level to improve power system design and optimize energy efficiency.
This joint effort underscores both ETAP and NVIDIA’s commitment to driving innovation in the data center sector, enabling businesses to optimize their operations and effectively manage the challenges of AI workloads. The collaboration aims to increase data center efficiency, as well as improve network reliability and performance.
“As AI workloads grow in complexity and scale, precise energy management is critical to ensure efficiency, reliability, and sustainability,” said Dion Harris, senior director of HPC and AI Factory solutions at NVIDIA. “Through our collaboration with ETAP and Schneider Electric, we are giving data center operators unprecedented visibility and control over energy dynamics, enabling them to optimize their infrastructure, accelerate AI adoption, and improve operational resiliency.”
“This collaboration represents more than just a technology solution,” said Tanuj Khandelwal, CEO of ETAP. “We are fundamentally rethinking how data centers can be designed, managed, and optimized in the AI era. By combining electrical engineering with advanced virtualization and AI technologies, we are creating a new paradigm for infrastructure management.”
Pankaj Sharma, Executive Vice President, Data Center, Networking and Services, Schneider Electric, added: “Collaboration, speed, and innovation are the driving forces behind the transformation of digital infrastructure required to handle AI workloads. Together, ETAP, Schneider Electric, and NVIDIA are not only advancing data center technology, we are enabling businesses to optimize their operations and seamlessly manage AI energy needs.”
About ETAP
ETAP provides market-leading software solutions for electrical systems, from design and engineering to operations and maintenance.
Through its integrated digital twin electric system platform, ETAP delivers best-in-class, continuous customer experience and cloud-enabled technologies, providing universal access for designers, engineers, and operators, accelerating their digital transformation of the power industry even in the most regulated environments.
More than 20,000 enterprises worldwide rely on ETAP to achieve full efficiency and sustainability across all life cycle stages for utilities, infrastructure, industry, and buildings. For more than 38 years, driving excellence, innovation and customer satisfaction, ETAP’s deep expertise is supported by the dedication of more than 1,000 employees and a strong community of active users.
ETAP is headquartered in Irvine, California, with regional operations around the world to support local customers.
About Schneider Electric
Schneider’s purpose is to create impact by empowering everyone to make the most of our energy and resources, ensuring progress and sustainability for all. We call it Life Is On.
Our mission is to be a trusted partner in sustainability and efficiency.
We are a global technology leader, bringing world-class expertise in electrification, automation and digitalization to smart industries, reliable infrastructure, future-proof data centers, smart buildings and intuitive homes. Drawing on our deep industry expertise, we provide integrated end-to-end AI-enabled industrial IoT solutions with connected products, automation, software and services, creating digital twins to drive profitable growth for our customers.
Ourmain resource is our 150,000 employees and more than a million partners operating in more than 100 countries to ensure proximity to our customers and stakeholders. We support diversity and inclusion in everything we do, guided by our meaningful purpose of a sustainable future for all.
The Filatov Institute of Eye Diseases and Tissue Therapy of the National Academy of Medical Sciences of Ukraine will continue to develop technologies for using artificial intelligence (AI) to diagnose eye diseases, said Andriy Korol, head of the department for studying the biological action and application of lasers in ophthalmology at the clinic.
“We have now worked out diabetic retinopathy, and at the next stage we will develop in several directions. These may include specific eye diseases, retinal diseases, glaucoma, age-related degeneration, and other diseases that are manifestations of diabetes,” he said in an interview with Interfax-Ukraine.
Korol noted that another area of AI technology development that the institute plans to implement will be a system that will allow “to see the symptoms and signs of various diseases, such as hypertension, vascular changes, hereditary diseases, and a number of rare diseases.”
Korol specified that the institute will be able to “launch research on new nosologies every year and a half.”
IT and artificial intelligence (AI) can make metallurgy more environmentally friendly and efficient, says Yuriy Ryzhenkov, CEO of Metinvest Mining and Metallurgical Group.
He expressed this opinion at the first B7 Italy 2024 meeting held on 13 March in Verona (Italy), organized by Confindustria, an association of Italian companies designed to facilitate dialogue between the business world and the governments of the G7 countries. The conference was attended by more than 250 guests, including CEOs and business leaders from G7 countries and international companies, as well as the Italian Minister of Entrepreneurship and Made in Italy, Adolfo Urso.
The participants discussed the key factors affecting industrial productivity and competitiveness in a rapidly developing global economy. Metinvest’s CEO was one of the speakers on the main discussion panel. He spoke about the peculiarities of steel production in Ukraine during the war, the company’s vision of a “green” course and the transformation of business processes in the steel industry through new technologies.
In particular, he noted that in recent years, many companies have been working on results and ignored technology. For example, in 2021, Azovstal outperformed all its competitors in terms of process efficiency thanks to AI and analytics.
“Our specialists, using augmented reality, could perform maintenance twice as fast as most of our competitors in neighboring countries. The implemented “space” computer vision system has set new standards for the quality of our products. Finally, the internal data management and communications system allowed us to run the company smoothly in the midst of the fiercest war in Europe since World War II,” Ryzhenkov stated.
He added that Metinvest, despite the war, is a very good example of how to use digital technologies to breakthrough in traditional industries.
Speaking about the “green” course in the industry, the CEO emphasized that almost every politician is interested in these issues, not only in Europe but also in the US, China, and around the world. At the same time, the steel industry is at the top of the agenda of this course as a major player in the implementation of green technologies. But at the same time, metallurgy is a very traditional industry, with technologies developed long ago, and it is impossible to make a major breakthrough now. It is only possible to gradually improve the system, he noted.
“The transition to the green course will not be easy. We do not have enough IT specialists to work on the transformation. Only five to seven years ago, we were looking for metallurgical engineers to teach IT. Now it’s the other way around. We train IT specialists who are taught metallurgy. And these are the people who will be in charge of our company’s green and digital transformation. This is happening right now. We will all be part of this transition, and we had better be ready for this challenge,” the top manager summarized.
“Metinvest is a vertically integrated group of steel and mining companies. The group’s enterprises are located mainly in Donetsk, Luhansk, Zaporizhzhia and Dnipro regions.
The main shareholders of the holding are SCM Group (71.24%) and Smart Holding (23.76%), which jointly manage it.
Metinvest Holding LLC is the management company of Metinvest Group.
AI, IT, METALLURGY, METINVEST
The team of the transformation office of state-owned Ukreximbank (Kyiv) is actively considering the integration of artificial intelligence (AI) into its systems and has already started using it in pilot modes, said Andriy Malakhov, head of the transformation office of the financial institution.
“That is, in parallel with the internal transformation, we understand that if we do not develop our skills in step with the market, we will simply not be competitive in five years. There are many areas: uninterrupted operations, information security, changing internal operating models, remote channels,” he said at the International Financial Club BANKIR conference.
In addition, Malakhov noted that Ukrexim is now in the middle of its path to what it wants to achieve in the transformational direction.
“In 2021-2022, we closed infrastructure issues to prepare our bank for the transformation of business processes, and the next stage is the transformation of our remote channels. We have quite ambitious plans,” the banker emphasized.
However, he noted that the state-owned bank does not always manage to implement changes promptly due to the specifics of its clients in the form of government agencies, but, according to him, Ukrexim’s team is striving for this.
According to the National Bank of Ukraine, as of November 1, 2023, Ukreximbank ranked 3rd (UAH 255.01 billion) among 63 banks operating in the country in terms of total assets.
