Most enterprise infrastructure was architected before generative AI existed. As AI workloads multiply across the business, the question of where to run them — public cloud, private data center, colocation or edge — has significant consequences for cost, security and reliability. In this episode, Dell’s Global CTO and Chief AI Officer John Roese shares the four-dimension framework Dell uses to make these decisions: cost, risk, location and predictability.
Chapters:
0:00 – Why most enterprises are moving toward hybrid infrastructure for AI
0:44 – Introducing the four-dimension framework for AI workload placement
2:16 – Cost: why high-utilization AI workloads can be 70% cheaper off public cloud
5:27 – Risk: protecting proprietary data and choosing the right environment
6:39 – Location: deploying AI where the data actually lives
8:02 – Predictability: why some workloads can’t tolerate infrastructure variability
10:44 – Putting it all together: placing workloads thoughtfully across your topology
