The Data Stack Show - The PRQL: Powering the Future: AI Infrastructure, Energy, and the Cloud Revolution with Alexander Patrushev of Nebius

Episode Date: September 22, 2025

In this bonus episode, John previews the upcoming conversation with Alexander Patrushev of Nebius.The Data Stack Show is a weekly podcast powered by RudderStack, customer data infrastructure that enables you to deliver real-time customer event data everywhere it’s needed to power smarter decisions and better customer experiences. Each week, we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Welcome to the Datastack show Prequel. This is a short bonus episode where we preview the upcoming show. You'll get to meet our guest and hear about the topics we're going to cover. If they're interesting to you, you can catch the full-length show when it drops on Wednesday. Welcome back to the Datastack show. We're here with our guest Alex from Nebius. Alex, really excited to have you on the show today. Tell us a little bit about your background.

And then we'll jump in. Hi, John. Thank you. I think that having me here today. Today I'm leading the part of the product team at Mbius. And mostly focusing on searching for the way how to make AI infrastructure and AI tuning is accessible for a wide range of the people from the startups, still at huge other prizes and frontier labs.

But how I get there. So it's quite interesting for me because I'm always, I'm most of the, I'm most of the, looking for new challenges for myself. And that's why I'm changing completely the role, direction, and the technology stack. I started in IBM when I was working with the mainframes, big, superconduaries, which could actually, you know, go to the space without any errors and keep running in the space, even in the right edition. That was quite an interesting. And then I switched to VMware, right opposite to that, you know, public, you know, visualization on X86, after minute frames. And after that, I switched to AWS from the private data center

utilization, private cloud, to the public cloud. And it was amazing that I really liked a time in AWS. And I spent almost six years working on machine learning on different customers, different size of the customers, the different type of the projects. And once I met the Nebius, they started to build a new AI specialized cloud. And it was super interesting to join them as a product manager and help them to actually redefine how the infrastructure looks like and create so many interesting products that we have today and what we are working on for the future. Awesome.

Yeah. So excited to learn more about that. And then the show today, we've got a number of topics to dive into, but what's one that you're excited about chatting? I would say that there are a couple of topics that I want to touch today and we'll be happy to tell you a lot of interesting. insights and ask you questions about them. So I think that we can talk about how AI changed in the last couple of years.

We can also change how infrastructure and the software related to the AI changed. I think because we're on the data show, it's not supposed to be about, it's supposed to be about the data. So I want to also talk about the data because, you know, there is a golden rule, garbage in garbage, without the data, there is no much learning at all. So it's all super important. Alex. All right. Well, I'm excited about this. All right. That's a wrap for the prequel. The full-length episode will drop Wednesday morning. Subscribe now so you don't miss it.