Surviving Scale: Building AI Workloads That Hold Up Under Demand
Surviving Scale: Building AI Workloads That Hold Up Under Demand  
Podcast: Edge of IT
Published On: Thu Mar 26 2026
Description: First question: Are you designing an AI workload?Second question: Are you ready to respond when your team asks you to scale it? As more small AI use cases emerge, organizations are feeling pressure to scale, and big questions are being raised from technical, operational, and cost perspectives. In this episode of Edge of IT, Jonathan Gough speaks with Robbie Jerrom, Principal Technologist for AI at Red Hat, and Josh Minthorne, Director of Cloud, DevSecOps & Automation at Pellera, about what it takes to “raise” AI from an early win into a scalable, governed workload.Robbie, Josh, and Jonathan share personal stories from the trenches, navigating the inevitable challenges that come with scaling AI workloads. They unpack why demand is so hard to predict, why startup times and GPU requirements can surprise you, and how internal adoption can spike fast enough to break systems. So, if you’re wondering how to adapt, this episode outlines the next steps your team needs to take to get back on track.