This not only reduces the time and cost of physical prototyping but also minimizes waste and energy consumption. Additionally, digital twins can be used to monitor and optimize energy usage in real-time, identifying areas for improvement and reducing energy waste. This can lead to significant cost savings and a more sustainable production process. By leveraging digital twins, manufacturers can also improve supply chain sustainability by tracking the environmental impact of materials and transportation methods. This allows for more informed decisions on sourcing and logistics, reducing the carbon footprint of the entire product lifecycle. Conclusion In conclusion, improving the sustainability of manufacturing requires a holistic approach that considers the entire product lifecycle. Technologies such as digital twins and accelerated computing are enabling manufacturers to reduce emissions, enhance energy efficiency and meet the growing demand for environmentally conscious production. However, addressing key challenges such as silos between departments and data management is crucial in achieving these goals. Digital twin technology, powered by NVIDIA Omniverse and OpenUSD, is proving to be a valuable tool in breaking down barriers and using data to drive sustainability in manufacturing. By leveraging digital twins, manufacturers can optimize product designs, facility layouts, energy usage, and supply chain sustainability, leading to cost savings and a more environmentally friendly production process.