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
episode
The Twenty Minute VC (20VC): Venture Capital | Startup Funding | The Pitch
1h 6m
2 speakers
8 chapters
transcribed 3 months ago
Transcript
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Transcript generated automatically by AI and may contain errors.
Why does Roman Chernin believe AI infrastructure is not a bubble?
who has power against Nvidia. We are in the capital intensive game, and we're competing with the most capitalized companies in the world. Our CapEx program this year is 20, $25 billion. Our competitors, hyperscalers, have eight times bigger. In the next six months, the capital cannot help.
What impact does open source have on OpenAI and Anthropic?
Six months is too short time. You have what you have, you need to deliver. Consolidation. Yeah, I think that the main threat for Nebios as a business is the world will be too much consolidated. It's like a shark. You're alive when you move, right?
What is Jevons Paradox and how does it relate to AI demand?
So we have to move.
The AI infrastructure race is on.
What are the four layers of AI infrastructure?
CapEx spend has never been greater. At the center of this, Nebius. Today, I'm joined by the co-founder of Nebius, a company that has scaled to a $66 billion market cap, going head to head with some of the largest hyperscalers in the world. Leo Aschenbrenner, one of the most famous investors on the planet right now, has just made them one of his largest positions. Today, we uncover the AI infrastructure bubble and so much more with the co-founder of one of the hottest companies on the planet, Nebius, and I'm thrilled to welcome Ronan Chernin.
What would happen if Nebius had 10x more capacity?
But before we dive into the show today, You have the idea, but often with AI tools, you hit a wall. Well, Base44 is where that friction disappears, turning how you talk into how you build. Full stack web and mobile apps, sites, autonomous super agents, all built in minutes, not weekends spent on damn configuration. Base44 ships it all out of the box. The backend, the database, the authentication, and the hosting. It handles the heavy lifting.
How is the shift from training to inference affecting AI development?
so you can just stay in the flow. It doesn't just replace the busy work, it multiplies you. It makes you so much more capable, an effective version of yourself. In this market, being fast is the baseline, but to win, you gotta be first. And Base44 is that edge.
How does Token Factory reduce AI costs by 70%?
It's the move that lets you skip the troubleshooting and get straight to the breakthrough. Launch your next big thing at Base44.com. That's Base44.com. After Base44 helps you launch, Corgi helps you cover what comes next. My word, what an arresting first line. Get your ass covered with Corgi insurance, and I'll tell you why. If you're running a business right now, you already know this pain all too well. Getting insurance, it's really slow, it's confusing, and my word, it's full of paperwork. Well, that's exactly why Corgi is here to change the game. Corgi is the first and only insurance carrier designed specifically for tech companies, allowing you to get covered in minutes instead of days. Corgi provides essential coverages for all growth stages, such as DNO,
E&O liability, cyber, commercial, general liability, and more. Get your ass covered. I love the way we say ass with Corgi Insurance alongside thousands of other startups at corgi.com forward slash 20VC today. That's corgi.com forward slash 20VC. You won't regret it. While Corgi handles the coverage, Turing handles the talent. Frontier labs keep facing the same limitation. Models perform well on benchmarks, but they fall short once they enter real coding tasks, real tools, and real workflows. That disconnect between synthetic evaluation and actual system behavior is now a core block off for agentic models. That's why NVIDIA, Anthropix, Salesforce, Gemini, and other leading lab partners, partner with Turing.
Turing is the research accelerator focused on post-training reliability. They build realistic RL environments, next-generation data quality systems built from real-world operational traces, and coding datasets that stress models under conditions where failures matter, state changes, workflow branching, brittle tool calls, and the coding errors that break RL agents but never appear in benchmark reports. In reality, a model may demonstrate correct reasoning in your evaluation setup, yet still select the wrong parameter or mishandle a code update in a realistic interface. Turing makes that failure visible and gives teams the signal they need to fix it. For labs advancing agentic systems, Turing provides the structure required to understand why these failures occur.
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Chapters
8 chapters
1
Why does Roman Chernin believe AI infrastructure is not a bubble?
0:00–0:20
2
What impact does open source have on OpenAI and Anthropic?
0:20–0:33
3
What is Jevons Paradox and how does it relate to AI demand?
0:33–0:37
4
What are the four layers of AI infrastructure?
0:37–1:14
5
What would happen if Nebius had 10x more capacity?
1:14–1:40
6
How is the shift from training to inference affecting AI development?
1:40–1:55
7
How does Token Factory reduce AI costs by 70%?
1:55–4:12
8
What is the biggest threat to Nebius according to Roman Chernin?
4:12–1:06:39
Speakers
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