This is an exciting announcement from the developers of Daytona Enterprise, a platform that enables teams to develop, test, and run applications in a single environment. The latest update brings GPU support to Enterprise customers, opening up new possibilities for computationally intensive tasks, machine learning projects, and high-performance computing directly within their Daytona-managed environments. This feature is expected to accelerate development, reduce costs, simplify workflows, and enable scalability for teams working on AI, machine learning, data science, computer vision, and financial modeling projects. With flexible resource allocation, multiple GPU support, GPU monitoring, and framework compatibility, users can now efficiently allocate and utilize GPU resources within their workspaces. The developers are committed to continually enhancing Daytona to meet the evolving needs of its users, with future updates planned to include advanced GPU scheduling and queueing, as well as specialized templates for common GPU workloads.