The software fix that could shrink AI’s energy bill without new hardware

AI data pipelines can cut energy use by shifting from batch jobs to real-time streaming.

Streaming smooths compute demand, reduces idle infrastructure, and improves data center utilization.

The article says preprocessing is a practical first step, with tools like Kafka and Flink already available.

This software-level change could lower peak loads faster and cheaper than hardware upgrades.