EarthFrame WARPT

The command-line engine for AI hardware observability and efficiency.

WARPT is a command-line driven Python package and library designed for monitoring system configuration and power usage specifically for AI hardware. Whether you are managing a single workstation or a large-scale cluster, WARPT provides the visibility you need to optimize performance and ensure data sovereignty.

Precision Monitoring for AI Workloads

WARPT gives developers and researchers insights into how their hardware is configured. By focusing on power usage and system configuration, WARPT helps identify bottlenecks and inefficiencies in real-time.

• Real-time Power Tracking – Monitor power consumption at the component level to optimize for efficiency.
• System Configuration Analysis – Get detailed reports on hardware state, driver versions, and resource allocation.
• Sovereign-First Design – No telemetry, no cloud dependencies. Your data stays on your machine.

Perfect for: AI researchers, ML engineers, system administrators, and hardware enthusiasts

Why WARPT?

Optimize for Efficiency

AI workloads are power-intensive. WARPT allows you to track energy usage patterns, helping you tune your models and hardware for the best performance-per-watt.

Data Sovereignty by Default

Like all EarthFrame tools, WARPT is designed to run locally. Your system metrics and performance data stay on your hardware—never sent to the cloud.

Seamless Integration

As a Python package, WARPT can be imported into your scripts to trigger actions based on hardware state, such as logging power usage during training runs or verifying system configurations before a job starts.

Data Sovereignty Starts With Transparency

Your hardware should work for you, not for a cloud provider. By providing tools to monitor and manage your systems, EarthFrame empowers you to take full control of your computing environment.