Nutanix

As AI becomes more central to everything from analyzing data to operating at the edge, organizations need infrastructure that can remain secure and sovereign, scale across different environments, and stay simple enough to manage.

In this episode, I sat down with Dan Fallon, Director of Special Programs and Federal System Integrator at Nutanix, as well as Jason Langone, Global Senior Director of AI and Neo Cloud Sales at Nutanix, and we explore what it takes to build that kind of resilient architecture.

I hope you enjoy our conversation today.

All right.

So how do you ensure you've, you know, you're designing to take advantage of whatever the best form factor, whatever the best accelerator is, you know, for a given application.

And clearly those are all different.

And, you know, the other piece of this is something I've been, you know, very busy with, you know, here at Nutanix, which is, you know, how do you help organizations? How do you help the government enterprise design, you know, especially, you know, something around inferencing that is highly resilient, that, you know, could sustain outages out at the edge or regionally, you know, clearly reconnect when you have connectivity.

So this notion of an inference mesh, whether that's in a certain area of responsibility, whether that's global, whether that's connecting to systems in space, underwater, wherever it is.

Welcome to Nutanix Weekly, hosted by me, Phil Sellers, CTO here at Integra.

This season, we're going deeper, deeper into hybrid and multi-cloud strategy, deeper into real-world use cases, and deeper into how Nutanix simplifies everything with one platform, one-click operations, and a smarter way to manage IT.

Whether you're running on-prem, in the cloud, or somewhere in between, this is the place to understand what's changing and what to do next.

Thanks for joining us.

Now let's get to the episode.

Welcome back to Nutanix

Weekly, and thanks for tuning in.

I'm Chris Calhoun, Solutions Architect here at Zintegra.

What does responsible adoption look like? How do organizations begin experimenting with these approaches? And what does synthetic research look like in a B2B environment? Where does it add value today? To answer these questions, we have as our guest Sascha Eder, CEO and co-founder of NewtonX, a company that has spent years helping organizations access and understand hard-to-reach professional audiences.

Most recently, Nutanix introduced Synthetic Personas, a new AI-powered solution designed specifically for B2B research applications.

We'll explore how synthetic research is different in B2B, what researchers should be thinking about synthetic personas, digital twins, synthetic boosting, and synthetic modeling in B2B, as well as what responsible use looks like in practice, and why the most effective B2B research programs may actually combine primary research and synthetic rather than choosing between the two of them.

Lots to cover.

And synthetic personas are really AI models trained on your real buyers in the context of B2B.

So if you sell to IT buyers and mid-market finance companies, it's being trained on those.

It's a mix of, let's say, in the context of Nutanix, Nutanix's own proprietary data, the client data, and to a degree, publicly available data, even though that is very, very limited.

And it allows you then to ask this audience a question that then simulates what the real world audience would answer.

Welcome back to Morning Call.

A serial entrepreneur may be on his way to creating his third billion-dollar-plus company, Ajit Singh, founder of Nutanix and ThoughtSpot, taking his new venture out of stealth mode today.

It's called Different, and its mission is to take on a crucial need for startups, marketing.

Ajit Singh is with us live this morning in San Francisco.

And the hardware vendors are racing to catch this exodus too.

Michael Redman noted Nutanix is actively building landing zones where licensing practically maps onto VMware tiers based on the workload.

They're trying to make the escape hatch as frictionless as possible.

If we connect this to the bigger picture, David Linthicum delivered a pretty stark warning.

That's basically what DevRev is all about.

Before this, I had started a company, Nutanix.

We were the fastest to a billion dollars in revenue and took it public in seven years record time on Nasdaq.

Was the largest tech IPO of forty sixteen.

That's the best you can do.

I can't thank you enough.

I mean, I'm, I'm not gonna ac- Nutanix was my first startup.

I think the core of Nutanix was to really do something around data management.

So today, we are fortunate enough to interview none other than Dheeraj Pandey, co-founder and CEO of DevRev, a company that revolutionizes how enterprise software connects developer, customers, and revenue teams through a unified AI-native platform.

Dheeraj is also co-founded a cloud software public company called Nutanix.

So, Dheeraj, thank you so much for joining us today.

It's a pleasure, Yossi.

And we were looking at a tiny thing called MySQL.

And MySQL was doing so much progress back in the day on a laptop with a developer who could actually spin it up in no time.

And the fact that our hands are tired, I mean, again, me and there was My friend and peer Bipul Sinha, who went on to be the first investor of Nutanix, and he's a founder and CEO of Rubrik.

We were actually doing a lot of things together, and our manager was this person by the name of Amit Ganesh, who currently runs a lot of cloud database software at Google GCP.

So for Insight, right? Like, they don't just sell VMware.

I'm sure they were also, you know, Nutanix partners and-

Mm

... probably did some OpenShift, and they would do all sorts of things, right? And then VMware's like, "Well, no, you have to just recommend us."