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The Story Behind Cerebras’ $63 Billion IPO with Founder and CEO Andrew Feldman
Brief
The market arc came later. Feldman argued inference only became a daily‑work requirement in 2025, when model quality made latency unacceptable for real users. That shift unlocked demand: Cerebras landed national labs (Argonne, Lawrence Livermore, Sandia, LRZ), verticals (oil & gas, pharma), a strategic $1B partner order from G42, and then rapid enterprise scale via an OpenAI agreement (described as north of $20B; term sheet mid‑2025, master agreement signed Dec. 24) and an AWS deal in March. Those commercial wins helped the company go public (market cap reported ~ $60–63B) and build a backlog Feldman places above $20B. Operationally he said the company will attempt a 10× manufacturing ramp in the next year and today employs ~8,850 people. Feldman also described internal AI adoption—engineers’ token spend rising from under $1K to roughly $25K–$30K over eight months—as well as cultural priorities: preserve a “fearless” engineering mindset, avoid complacent hiring, and use explicit hypotheses and timelines to decide when to stop projects. He credited open‑source models with sustaining the ecosystem through earlier periods and closed by arguing that extreme inference speed won’t merely accelerate existing workflows but will enable entirely new business models and productivity jumps—comparing the potential shift to how fast internet transformed Netflix from DVD delivery to studio/streaming.
Why it matters
Andrew Feldman (co‑founder & CEO) said Cerebras’ wafer‑scale chip is 46,000 mm² (a “dinner‑plate” sized die) and delivers 15–20× faster inference performance than GPUs across model sizes from one billion to trillion parameters.
Key details
- Feldman described early technical struggles: between mid‑2017 and mid‑2019 the team was failing to build wafer‑scale systems while burning about $8 million per month until a working system emerged in summer 2019.
- Cerebras signed major commercial deals in the recent run‑up to and after going public: a deal with OpenAI described as “north of $20 billion” (term sheet mid‑2025, master agreement signed December 24) and an agreement with AWS in March; Feldman also cited a $1 billion order/strategic partnership with sovereign cloud provider G42.
- The company went public in 2026 with a market value reported around $60–63 billion and a backlog Feldman described as “north of $20 billion.”
- Operational scale and roadmap details: Feldman said Cerebras plans to try to increase manufacturing capacity 10× in the coming year, has roughly 8,850 employees, and spent about a decade building their compiler and software stack.
- On internal AI adoption, Feldman reported heavy usage growth: eight months ago engineers were spending under $1,000 on model tokens each, rising to roughly $25,000–$30,000 per engineer as they adopt agent‑based workflows.