Skip to content
No PriorsNo Priors

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

Companies in Silicon Valley from Nvidia to AMD are racing to fuel the AI revolution with postage stamp-sized AI chips. Meanwhile, a chip the size of a dinner plate just fueled a $63 billion IPO for Cerebras. Elad Gil and Sarah Guo sit down with Cerebras founder and CEO Andrew Feldman to discuss the company’s journey to making one of the largest tech go-publics in history. Andrew details the multi-year journey of pioneering wafer-scale AI computing, including surviving a brutal period of being ahead of market demand. He also explains the engineering breakthroughs that led to delivering inference speeds at 20x that of standard GPUs. Andrew then shares how a remarkable $20 billion deal with OpenAI came together in only four weeks. Plus, Andrew’s thoughts on why architecting the future of AI requires the fortitude to be a “professional David” against the Goliaths of tech. Sign up for new podcasts every week. Email feedback to show@no-priors.com Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil | @andrewdfeldman | @Cerebras Chapters: 00:00 – Cold Open 00:41 – Andrew Feldman Introduction 00:48 – Cerebras’ Evolution 02:17 – Wafer-Scale Bet Pays Off 06:38 – Challenges and Breakthroughs 08:37 – Crossing the Market Chasm 10:38 – Scaling Software and Hardware 12:03 – Relevance of AI-Generated Coding 13:31 – Leadership and Hiring Culture 17:16 – When to Quit vs. Persist 19:40 – Why Cerebras Went Public 22:57 – The OpenAI Deal 25:54 – Open Source and Post-Trained Workloads 27:37 – How Speed Opens Up New Business 30:07 – Conclusion

Andrew FeldmanguestElad GilhostSarah Guohost
May 21, 202630mWatch on YouTube ↗

Episode Details

EPISODE INFO

Released
May 21, 2026
Duration
30m
Channel
No Priors
Watch on YouTube
▶ Open ↗

EPISODE DESCRIPTION

Companies in Silicon Valley from Nvidia to AMD are racing to fuel the AI revolution with postage stamp-sized AI chips. Meanwhile, a chip the size of a dinner plate just fueled a $63 billion IPO for Cerebras. Elad Gil and Sarah Guo sit down with Cerebras founder and CEO Andrew Feldman to discuss the company’s journey to making one of the largest tech go-publics in history. Andrew details the multi-year journey of pioneering wafer-scale AI computing, including surviving a brutal period of being ahead of market demand. He also explains the engineering breakthroughs that led to delivering inference speeds at 20x that of standard GPUs. Andrew then shares how a remarkable $20 billion deal with OpenAI came together in only four weeks. Plus, Andrew’s thoughts on why architecting the future of AI requires the fortitude to be a “professional David” against the Goliaths of tech. Sign up for new podcasts every week. Email feedback to show@no-priors.com Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil | @andrewdfeldman | @Cerebras Chapters: 00:00 – Cold Open 00:41 – Andrew Feldman Introduction 00:48 – Cerebras’ Evolution 02:17 – Wafer-Scale Bet Pays Off 06:38 – Challenges and Breakthroughs 08:37 – Crossing the Market Chasm 10:38 – Scaling Software and Hardware 12:03 – Relevance of AI-Generated Coding 13:31 – Leadership and Hiring Culture 17:16 – When to Quit vs. Persist 19:40 – Why Cerebras Went Public 22:57 – The OpenAI Deal 25:54 – Open Source and Post-Trained Workloads 27:37 – How Speed Opens Up New Business 30:07 – Conclusion

SPEAKERS

  • Andrew Feldman

    guest

    Co-founder and CEO of Cerebras Systems, a wafer-scale AI hardware company.

  • Elad Gil

    host

    Entrepreneur and investor known for work in tech startups and AI-focused investing.

  • Sarah Guo

    host

    Founder of Conviction (venture firm) and AI investor; co-host of the No Priors podcast.

EPISODE SUMMARY

In this episode of No Priors, featuring Andrew Feldman and Elad Gil, The Story Behind Cerebras’ $63 Billion IPO with Founder and CEO Andrew Feldman explores cerebras’ wafer-scale gamble pays off with fast inference demand surge Cerebras built a wafer-scale “dinner plate” chip architecture to achieve ~15–20x faster inference than GPUs, betting that AI would eventually demand extreme speed at scale.

RELATED EPISODES

Pax Silica: Inside the Trump Administration’s Tech Strategy with Jacob Helberg

Pax Silica: Inside the Trump Administration’s Tech Strategy with Jacob Helberg

Amex Global Business Travel: The World’s First AI Take Private with Long Lake CEO Alexander Taubman

Amex Global Business Travel: The World’s First AI Take Private with Long Lake CEO Alexander Taubman

Baseten CEO Tuhin Srivastava on Custom Models, and Building the Inference Cloud

Baseten CEO Tuhin Srivastava on Custom Models, and Building the Inference Cloud

Scaling Global Organizations in the Age of AI with ServiceNow CEO Bill McDermott

Scaling Global Organizations in the Age of AI with ServiceNow CEO Bill McDermott

How AI Agents Will Transform the Financial System with Circle Co-Founder and CEO Jeremy Allaire

How AI Agents Will Transform the Financial System with Circle Co-Founder and CEO Jeremy Allaire

AI for Atoms: How Periodic Labs is Revolutionizing Materials Engineering with Co-Founder Liam Fedus

AI for Atoms: How Periodic Labs is Revolutionizing Materials Engineering with Co-Founder Liam Fedus

Get more out of YouTube videos.

High quality summaries for YouTube videos. Accurate transcripts to search & find moments. Powered by ChatGPT & Claude AI.

Add to Chrome