New solutions powered by NVIDIA Omniverse aim to improve energy efficiency, optimize factory operations, and accelerate digital transformation
San Jose, California, 17 March 2026 – Delta, a global provider of power management and smart green technology solutions, has introduced a new range of AI-powered digital twin applications designed to transform building automation and smart manufacturing. The company revealed these innovations during NVIDIA’s GTC technology conference, highlighting how advanced simulations and artificial intelligence can improve energy efficiency and streamline industrial operations.
The newly introduced digital twin solutions are built using NVIDIA Omniverse libraries, a platform designed for creating high-fidelity, real-time simulations of complex environments. By combining artificial intelligence with detailed digital replicas of physical systems, Delta aims to help organizations better understand operations, test different scenarios, and improve decision-making before real-world implementation.
One of the key applications focuses on smart building management. Delta’s AI digital twin system brings together multiple building components such as heating, ventilation, and air conditioning systems, lighting controls, natural sunlight conditions, and environmental sensors into a single simulation environment.
Using real-time data and photorealistic modeling, the system allows facility managers to visualize how these elements interact and test strategies to reduce energy consumption. According to Delta, early simulations show that this approach can unlock up to 20 percent improvement in building energy efficiency while maintaining occupant comfort.
These digital twin simulations also help building operators evaluate sustainability strategies, predict maintenance needs, and optimize operational performance throughout a building’s lifecycle. By analyzing different “what-if” scenarios before construction or system upgrades, organizations can reduce operational risks and make more informed planning decisions.
Delta has already implemented this technology in the management of its Taipei headquarters, where the digital twin platform models the interaction between sunlight, shading, lighting, and HVAC systems. The system continuously analyzes environmental data and operational conditions to support energy-efficient building management.
Alongside building automation, Delta is also applying AI-driven digital twins to its smart manufacturing operations. The company’s DIATwin platform uses NVIDIA Omniverse technology to create detailed virtual models of manufacturing environments, integrating product designs, robotics, equipment, and production processes into a unified digital framework.
This technology has been deployed at Delta’s manufacturing facility in Thailand, where it is used to simulate and optimize production lines for AI server power supply units. By testing assembly processes and production workflows in a digital environment first, engineers can significantly reduce development time and improve manufacturing efficiency.
Advanced simulation tools powered by NVIDIA PhysX enable accurate modeling of robotic movement and production line operations. These simulations help optimize robot paths, reduce engineering delays, and allow faster deployment of new manufacturing lines.
Delta is also improving product quality inspection by using synthetic data generated through AI technologies such as anomaly detection systems. By generating simulated defects for automated optical inspection training, the company can enhance the accuracy of quality control models without relying solely on real-world defect samples.
The digital twin ecosystem works together with Delta’s manufacturing management platforms to support decentralized production while maintaining centralized operational control. This approach allows companies to replicate production lines across multiple regions while maintaining consistent quality and performance standards.
Industry experts note that AI-powered digital twins are becoming an important tool in modern industrial environments. By combining artificial intelligence, data analytics, and real-time simulation, organizations can reduce operational costs, improve sustainability outcomes, and accelerate the adoption of smart factory technologies.
As industries continue to adopt advanced automation, Delta’s digital twin solutions highlight how simulation-driven innovation can support the next generation of intelligent infrastructure. From energy-efficient buildings to autonomous manufacturing environments, digital twin platforms are emerging as a key technology shaping the future of smart industry.
