As intelligence moves onto production lines and into warehouses, retail spaces, and other on-site operations, those systems need to make decisions in real time, right where the data is created, particularly with the advent of physical AI. That puts a premium on compute-dense, on-premises servers that can run demanding AI workloads without a round trip to the cloud. Cloud economics reinforce the trend, since moving that much data off-site adds cost, latency and security exposure. 

In this Automation World podcast, we connect with OnLogic's Andrew Hamblin to explore: 

• Delivering all of the capabilities of physical AI into harsh, cramped industrial environments without relying on the cloud 
• Greater compute power and acceleration at the edge, where the data is being processed
• Smoother alignment between IT and factory-operations teams vis hardware that satisfies both camps
• More modular right-sized approach to hardware 

This podcast is sponsored by OnLogic.