Ep 410 - Why Data Movement Defines Hybrid & AI Success

About this episode

The episode discusses the critical role of data movement in hybrid and AI architectures, highlighting challenges enterprises face with latency and egress fees.

When moving data into or out of the cloud, the real cost isn’t storage, but latency, egress fees, and lost flexibility. For instance, if you spin up AI workloads in one cloud and inference in another, what happens when your data can’t move fast enough to keep GPUs busy? What’s the cost? These are the challenges enterprises are running into right now as hybrid, multi-cloud, and AI architectures collide. On the latest Tech ONTAP Podcast, Justin Parisi is joined by Glenn Dekheyser (Equinix) to unpack why private interconnectivity and data movement are now as critical as storage and compute.

People in this episode

Host: Justin Parisi

Guest: Glenn Dekheyser

Topics covered

• data movement
• hybrid cloud
• AI
• latency
• egress fees

Keywords

• private interconnectivity
• multi-cloud
• enterprise challenges

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