Boosting Manufacturing Energy Efficiency with AI and NVIDIA Omniverse
As a crypto enthusiast interested in sustainability and technological advancements, you will be amazed by how Wistron, a global supplier of information and communications products, is leveraging AI and NVIDIA Omniverse to enhance energy efficiency in manufacturing operations.
Enhancing Operational Efficiency with OpenUSD and AI
Wistron has taken a significant step by developing a digital twin platform and AI-enabled simulation tools to optimize energy efficiency in their run-in test rooms in new NVIDIA DGX and NVIDIA HGX factories. This innovation has the potential to reduce energy consumption by up to 10%.
- The company utilized the NVIDIA Omniverse platform and Universal Scene Description (OpenUSD) to create their Digital Twin platform.
- The platform connects to the building management system and IoT hub, providing real-time data from thousands of physical sensors in their facilities.
- Integrating OpenUSD has enabled real-time collaboration for remote teams and accelerated decision-making processes in facility planning and operations.
Building Digital Twins of Test Rooms
Wistron has used OpenUSD to streamline workflows and unify their data pipeline, enabling the creation of 3D models. This approach standardizes asset creation and ensures compatibility across various software and simulation tools.
- OpenUSD facilitates the connection between Wistron’s Digital Twin platform and the Autodesk FlexSim simulation software.
- Developers have built a custom extension to import data and parameters from FlexSim into their Digital Twin platform.
Accelerating Simulation and Predicting Risk with Physics-Informed AI
Wistron’s simulation experts employ physics-informed neural networks (PINNs) using NVIDIA Modulus to speed up airflow simulations significantly. This enhancement enables fast and accurate predictions of temperature distributions and thermal behaviors within their run-in test rooms.
- These capabilities help minimize cooling system loads, reduce operating costs, and forecast core temperatures up to 30 minutes in advance.
- Wistron has also implemented an AI-based extension for high-fidelity visualization and analysis of CFD simulations to improve efficiency further.
- A recommendation system for their automated storage and retrieval system (ASRS) has been integrated to identify optimal testing locations and autonomously place new supercomputing baseboards with minimal thermal risk.
Hot Take: Embracing Technological Innovation for Sustainability
Dear crypto reader, the case of Wistron leveraging AI and NVIDIA Omniverse to enhance energy efficiency in manufacturing operations is a testament to the positive impact of technological advancements on sustainability. By adopting digital twins, AI models, and simulation tools, companies like Wistron are paving the way for a greener and more efficient future. Embrace technological innovation to drive sustainability and operational excellence in the ever-evolving crypto landscape.
By
By
By
By
By