Sunalini Sankhavaram

speaker

315 appearances 1 recordings 1 series first heard Jul 2026 last heard 17 Jul

Sunalini Sankhavaram’s voice in public audio — every appearance, attributed to the second.

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Recordings per month over the last 12 months — 1 in all, peaking in Jul 2026 with 1.

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Heavy Networking · HN834: HPE Self-Driving Networks: The Next Evolution of Network Automation (Sponsored) · 17 Jul 2026 podcast

The end goal is a self driving network.

for delivering the best user experience possible, no matter what AP, no matter what switch, no matter what platform.

And we'll be you know, and if you looked at what we announced at Discover, what began as a dual platform access point strategy also very quickly evolved into mystifying the CX portfolio.

This so CX w is the switch portfolio, right?

Exactly, wide portfolio.

And one of the key things we did as part of our cross pollination of best of both uh breed products into each

platform is bringing the CX line

uh especially in the beginning with the access layer into the mist wire resorance umbrella and driving Marv's actions for CXs now just like we do for EX and QFXs.

So as you can see, the whole strategy of self driving, leveraging cross-coordination is happening not just at the AI layer or the data layer, it's also happening where

hardware that we are coming out with will talk to both platforms, both on the wired and wireless side.

Absolutely.

So again the architecture's very simple.

It all depends on the deployment uh use case of the customers have.

For example, in our federal customer base or in some of our financial systems customers where they want an air gap network, all they deploy is the network infrastructure like the AP switches, and on top of that, they deploy what we call

uh for on-prem or VPC our central on-prem solution, which has again all the AI model that we developed in cloud, we clean in cloud, the inference is available on-prem.

So they're not deploying anything additional apart from the control plane, the data plane, and then the management plane, right?

And the management plane is where the AI engine sits and the AI does either training if it's cloud or it's inferencing based on on-prem solution.

Um when I when I come to the non-air gap network again, whether it's Smiths or it's Aruba Central, all the customers are deploying is the APs, the switches, the routers, and they're enabling the the zero touch uh

plug and play operations with the cloud orchestration layer.

And the same orchestration layer is giving them this end-to-end seamless view of what we call the client-to-cloud experience.

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