What does "availability" mean in a world of AI inferencing and ever-shifting workloads? It’s no longer just about servers responding or apps being online—availability now hinges on response quality, utility, and even user perception. A fast system that delivers irrelevant or wrong answers? That’s simply unavailable to its users.

In this episode of Pop Goes the Stack, F5's Lori MacVittie, Joel Moses, and special guest Ken Salchow explore how AI systems are changing the availability game. From the historical binary days of “up or down” to today’s nuanced measures of responsiveness and correctness, they dive into the challenges of keeping apps fast, reliable, and meaningful.

Listen in to learn how AI inferencing workloads redefine availability metrics, why availability now requires response quality and utility, and whether or not "emotionally available" AI (yes, really) might be the future.

Find out more in the blog, How AI inference changes application delivery: https://www.f5.com/company/blog/how-ai-inference-changes-application-delivery

Read the white paper Ken references, Passive Monitoring—Maintaining Performance and Health: https://cdn.studio.f5.com/files/k6fem79d/production/6f4d7a0298a24927ed03c3dc92de339c86e03ef5.pdf