584 Castro Street, #447,
San Francisco CA 94114
UrsaLeo, a leading provider of cloud-based digital twin technology, is excited to announce a major breakthrough in digital twin accessibility: support for multiple concurrent users on a single GPU. This advancement significantly reduces hardware costs while enabling real-time collaboration and visualization for teams working with complex digital twin environments.
Digital twins—virtual representations of physical assets and processes—are widely used in manufacturing, energy, and smart infrastructure. However, high computational requirements have historically limited accessibility, often requiring dedicated GPUs for each user. UrsaLeo’s latest innovation removes this bottleneck, allowing multiple users to interact with digital twins simultaneously on the same GPU-powered infrastructure.
“Our goal has always been to make digital twins more accessible, scalable, and cost-effective,” said John Burton, CEO at UrsaLeo. “By optimizing our streaming technology, we can now support multiple users on a single GPU, making it easier for teams to collaborate in real-time without expensive hardware investments.”
This advancement opens new possibilities for industries that rely on digital twins for operations, training, and remote monitoring. With seamless multi-user access, stakeholders can view and interact with 3D models, analyze live sensor data, and make informed decisions—whether they’re in the same room or across the globe.
UrsaLeo’s platform is available for immediate deployment, providing businesses with a more efficient and cost-effective way to harness the power of digital twins.
