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.
In this episode, we cover:
• How Equinix Fabric enables low-latency access to public clouds, neo-clouds, and edge locations
• Why data gravity and cloud egress costs are forcing new architectural choices
• How AI, GPUs, and agentic workflows change where data should live
• How NetApp + Equinix give enterprises the freedom to change clouds without re-architecting everything
If you’re designing for AI, hybrid cloud, or global scale, this conversation reframes how infrastructure should really work.
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