How to Run a GPU-Accelerated Virtual Desktop on RunPod

Running a GPU-accelerated virtual desktop on RunPod is beneficial for users needing significant processing power for tasks such as 3D rendering with Blender. The deployment process involves setting up an Ubuntu remote desktop with GPU access, ensuring adequate account funds, and deploying a desktop template via a provided link. Users must select their preferred GPU and start the pod on demand, using default or updated credentials for security. Monitoring CPU utilization helps confirm when the pod is ready for connection, and users can log in via HTTP using defined credentials. The template saves the home directory as a workspace, retaining data on pod restart but removing preinstalled apps on reset. Additional tools and settings for streaming quality can be accessed via a side bar on the desktop interface.