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.