Roman Chernin

speaker

1,558 appearances 3 recordings 3 series first heard May 2026 last heard 7 Jun

Roman Chernin’s voice in public audio — every appearance, attributed to the second.

Trend

recordings per month · last 12 months

Recordings per month over the last 12 months — 3 in all, peaking in Jun 2026 with 2.

Appearances

newest first · ▶ plays the moment

The Twenty Minute VC (20VC): Venture Capital | Startup Funding | The Pitch · 20VC: Nebius Co-Founder on AI Infrastructure Bubbles | The Real Impact of Open Source on OpenAI & Anthropic | How Price Elastic is Demand for Compute | Could Nebius Sell 10x More Compute If They Had It & more with Roman Chernin · 7 Jun 2026 podcast

And you want to move as fast as possible.

And there are a lot of complications of the real world that prevent you to move fast enough sometimes.

To launch a new data center, you need to go through the entire supply chain, regulatory, and fires and waters.

Everything that happens in the real world.

So this is one dimension.

Another dimension is the product.

You want to move fast enough to address new types of the workloads, new types of the customers that are coming to the market.

Think about it.

We started as an industry in this AI journey from the people who first of all built the models, right?

So that was the companies like OpenAI,

in hyperscalers, large labs, and so on.

And what they need from you as an infrastructure provider is barely compute, like just raw infrastructure.

And we see a lot of these large bare metal deals on the market, and we also do them, but this is only the first layer of what we build, scaled physical infrastructure that customers like Meta, Microsoft in our case, can consume on their large volumes.

This is the first layer.

The second layer is what we call multi-tenant cloud.

Still addressing research-heavy teams, but now we have hundreds or thousands teams that they don't want to deal with the physical infrastructure.

They want to deal with the managed infrastructure.

classical infrastructure as a service in the cloud terms.

You have storage, compute, networking, virtualized in a good environment with API, observability, security, everything that normal teams expect cloud to have.

You log in, you get your cluster provisioned, and you can start training or run inference if you need and manage your application or manage your workflow yourself, but have infrastructure figure it out for you.

Showing 81–100 of 1,558 · page 5 of 78