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Ep 410 - Why Data Movement Defines Hybrid & AI Success artwork
Technology

Ep 410 - Why Data Movement Defines Hybrid & AI Success

TechONTAPPodcast by Tech ONTAP Podcast

Feb 3, 202600:43:02Technology

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 y...

About This Episode

Ep 410 - Why Data Movement Defines Hybrid & AI Success is an episode from TechONTAPPodcast by Tech ONTAP Podcast. When moving data into or out of the cloud, the real cost isn’t storage, but latency, egress fees, and lost flexibility. For in...

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Episode Details

Published Feb 3, 2026, 00:43:02 long, audio available.

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What is Ep 410 - Why Data Movement Defines Hybrid & AI Success about?

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.

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Which podcast is Ep 410 - Why Data Movement Defines Hybrid & AI Success from?

Ep 410 - Why Data Movement Defines Hybrid & AI Success is an episode from TechONTAPPodcast by Tech ONTAP Podcast.

How long is this episode?

This episode is 00:43:02 long.

When was this episode published?

This episode was published on Feb 3, 2026.

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Where can I listen to Ep 410 - Why Data Movement Defines Hybrid & AI Success?

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Which podcast is this episode from?

Ep 410 - Why Data Movement Defines Hybrid & AI Success is from TechONTAPPodcast by Tech ONTAP Podcast.

What are the episode details?

Published Feb 3, 2026 and 00:43:02 long