Energy observability for AI workloads
Matcha helps you understand how AI workloads actually use compute.
It measures energy, runtime, and efficiency directly from your training runs, exposing signals that are usually hidden behind infrastructure and system logs. Instead of relying only on loss or throughput, Matcha lets you observe how compute is consumed as your workload executes.
You run your training script as usual. Matcha runs alongside it and records energy usage, runtime, and step-level efficiency, turning each run into a measurable experiment.