check
01Command
Diagnose your environment for GPU/CUDA compatibility issues.
Command
Diagnose your environment for GPU/CUDA compatibility issues.
Command
Get detailed information about your CUDA toolkit installations.
Command
Get step-by-step CUDA Toolkit installation instructions tailored to your platform.
Command
Detect and validate cuDNN library installations.
Command
The dashboard and report commands are part of the optional fleet monitoring add-on. The core CLI works without them.
Command
Get detailed information from all detectors for troubleshooting.
Command
Validate docker-compose.yml files for proper GPU device configuration.
Command
Validate Dockerfiles for GPU/CUDA configuration issues before building.
Command
Generate CI/CD integration files for your project.
Command
Get the safe install command for GPU libraries that matches your driver.
Command
Check if an AI model fits on your GPU before downloading.
Command
Check Python version compatibility with installed AI libraries and detect dependency cascades.
Command
Scan your project for deprecated AI library imports and suggest fixes. [BETA].
Command
Display comprehensive WSL environment information and GPU forwarding diagnostics.