AI developers need better ways to measure model efficiency. This tool would benchmark performance-per-watt across hardware and model configurations.
The product runs standardized tests and generates efficiency reports. It integrates with popular ML frameworks.
AI developers and researchers pay for optimization insights.
Start with basic benchmarking for common model architectures.
Risk: Hardware vendors might develop competing solutions.