Guide
Update GPU Application Configuration
Overview
ProjectX Infinity is a unified cloud compute platform designed to run diverse workloads efficiently. The Gazebo application—commonly used for robotic simulation and 3D visualization—can benefit significantly from GPU acceleration when handling complex rendering or physics computations. By enabling GPU support in the application configuration, you allocate GPU resources to the instance, improving performance for graphics-intensive operations while maintaining cost efficiency through selective acceleration. This configuration change takes effect after saving and typically applies on the next application restart or session.
Before you begin
- Active ProjectX Infinity account with access to infinity.projectx.cloud
- Sufficient dashboard credits (100+ shown in the interface)
- The Gazebo application already deployed in your applications list
- GPU resource availability in your ProjectX subscription tier
- User role with permission to modify application settings (typically project owner or administrator)
Step by step
rahulkumaranClick on your user account name (rahulkumaran) in the top navigation to access the account menu.
DashboardClick the Dashboard button to navigate to the main ProjectX Infinity dashboard where your applications and resource overview are displayed.
ApplicationsClick the Applications button in the left sidebar or navigation menu to view your list of deployed applications.
Gazebo4 CPU • 4 GB • GPUClick on the Gazebo4 application card (labeled 'Gazebo4 CPU • 4 GB • GPU') to open the application details and configuration panel.
100 Dashboard Credits Profile System Shortcuts Applications Sessions Application Settings Gazebo CPU Cores Memory 4 GB GPU Acceleration Enable GPU for graphics-intensive apps Auto-stop after idle (minutes) 2 min - 24 hours (1440 min) Startup CPU BoosClick on the Application Settings panel or section within the Gazebo application details to display the full configuration form including CPU cores, memory, GPU acceleration toggle, and auto-stop settings.
buttonClick the GPU Acceleration toggle button to enable GPU resources for the Gazebo application. The toggle should move from 'OFF' to 'ON' or display a checkmark indicating GPU is now enabled.
buttonClick any additional configuration toggle or button if required by the interface to finalize GPU settings (such as confirming resource allocation or auto-scaling options). Verify the GPU Acceleration toggle remains in the ON position.
SaveClick the Save button within the Application Settings panel to persist your configuration changes to the application instance.
SaveClick the Save button again if a confirmation dialog or secondary save prompt appears, or to finalize the application settings in the dashboard. This ensures all changes are permanently applied to the Gazebo instance.
Confirm it worked
- 1The GPU Acceleration toggle appears in the 'ON' or enabled position after step 7, before final save
- 2A confirmation message appears after clicking Save in step 9, or the Application Settings panel closes and returns to the application list
- 3The Gazebo application card in the Applications list displays 'GPU' label (e.g., 'Gazebo4 CPU • 4 GB • GPU')
- 4On next application launch, the Gazebo session uses GPU resources (confirmed in performance metrics or resource monitor within the application)
Common issues
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