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The Story Behind Cerebras’ $63 Billion IPO with Founder and CEO Andrew Feldman

Name: The Story Behind Cerebras’ $63 Billion IPO with Founder and CEO Andrew Feldman
Uploaded: 2026-05-21T10:00:35.000Z
Duration: 30 min 34 s
Channel: No Priors: AI, Machine Learning, Tech, & Startups

No Priors: AI, Machine Learning, Tech, & StartupsMay 21, 202630m

Topics24

Impact of Speed on Business Models0:00 Introduction to Cerebras and Andrew Feldman0:37 Current Performance and Market Demand1:31 Major Deals and Business Growth2:30 Wafer Scale Architecture and Differentiation3:01 Market Timing and Inference Demand4:30 Early Days and Market Evolution5:32 Founding Conviction and Strategic Bets6:01 Technical Challenges and Development Timeline7:32 Early Sales and Market Adoption9:01 G42 Partnership and Scaling10:01 Hardware Scaling Challenges11:31 Software Stack Development12:01 AI-Assisted Coding at Cerebras12:33 Company Size and Culture14:00 Leadership Psychology and Motivation16:00 When to Give Up on a Venture18:01 Decision to Go Public20:00 OpenAI Deal Process23:30 Market Speed and Deal Execution24:57 Extraordinary Operators and Growth25:30 Open Source Ecosystem Impact26:00 Speed as a Transformative Force27:30 Future Productivity Jumps29:00

In a Nutshell

Cerebras built a wafer-scale AI chip 100-200x larger than GPUs to deliver 15-20x faster inference, betting on a fundamentally different architecture rather than incremental GPU improvements. The company struggled for years with minimal adoption until 2025 when AI became useful enough for daily work, triggering explosive demand from OpenAI, AWS, and others that led to a $20B+ deal and $63B valuation. CEO Andrew Feldman emphasizes that radical speed doesn't just accelerate existing processes—it enables entirely new business models and productivity leaps once infrastructure catches up with capability.

AI-Generated Notes

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Netflix used to deliver DVDs and envelopes and when the internet got fast they became a movie studio right it opened up an entirely new business something fundamentally different that's what happens with speed and I think that's what fast AI does right now we're replacing things that everybody can see like coding design the SAS tools but once we start sort of fundamentally reorganizing around this you're going to see this sort of new business models and fundamental jumps in productivity and I'm eager for that.

Today on No Prize, we have Andrew Feldman, the co-founder and CEO of Cerebras. Cerebras was founded in the mid 2010s to focus on new workloads for AI, particularly the machine learning world, and then has made the transition into very fast inference for the foundation model world that we live in today. Cerebras recently went public and is currently worth about $63 billion in the stock market.

Andrew Feldman stated: "We build AI computers, right? Computers designed to and optimized to accelerate AI workloads."

Right now Cerebras is the fastest at inference, not by little, but by a lot, 15, 18, 20x faster than GPUs. Starting in about 2025 AI models got smart enough to be useful. People began using them and we make AI with training and we use it with inference. As people began to use it, it began to be integrated into their day-to-day work. Speed became fundamentally important and Cerebras was crushed with demand.

The speed advantage is faster across the board: big models, small models, US models, Chinese models, trillion parameter models, one billion parameter models.

At the end of the year, Cerebras signed a deal with OpenAI, one of the biggest deals ever in Silicon Valley, north of $20 billion. In March, Cerebras signed an agreement with AWS where they will be deployed in their data centers going forward. It was a whirlwind year and a half of chasing supply and trying to meet the demand.

Andrew Feldman explained that they built a really fast machine and for a long time nobody cared. Many people objected and said this is just a weird architecture. They called it wrong. To be radically better, you can't build something that is a similar architecture. You're not going to get 15 or 20 times better than the GPU with a minor modification to their architecture. If you're going to aspire to a radical improvement, your design has to be different.

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The Story Behind Cerebras’ $63 Billion IPO with Founder and CEO Andrew Feldman

Impact of Speed on Business Models00:00

Introduction to Cerebras and Andrew Feldman00:37

Current Performance and Market Demand01:31

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