This episode will be available to stream at 11am ET.

Not every workload creates equal value, yet all compete for the same finite resources. Rising demand for compute is forcing difficult decisions about where capacity should be allocated and which applications can justify their footprint. This episode explores the growing tension between AI innovation and infrastructure reality, examining how to evaluate workload costs, manage constrained resources and decide what deserves to scale. Key discussion points include:

• Which AI workloads place the greatest demands on compute and networking
• Why inference is becoming the new cost challenge
• Capacity planning in an AI-first market
• How to prioritise workloads when resources are constrained