Run:ai's Atlas software platform enables on-demand consumption of GPU and CPU resources across cloud and on-premises infrastructure. By pooling GPU compute resources and allowing for efficient and automated cluster management, IT departments can deliver GPU-as-a-Service, on-demand, to their research teams. Data scientists access resources with one click, no longer need to learn complex scheduling tools, and can choose any ML tools to manage their workloads, or use integrated Run:ai tools. The Atlas platform helps to bring models to production quickly and reduce the cost of AI initiatives.