Cerebras shares skyrocket in debut as AI mania grips markets

Cerebras Systems, a Sunnyvale, California-based chip designer, saw its shares jump 89% on their Nasdaq debut on May 14, opening at $350—far above the $185 IPO price—and raising $5.55 billion. The company’s market valuation now stands at $106.75 billion, marking the largest U.S. IPO of 2024 and reflecting investor frenzy around AI-linked stocks amid global economic uncertainty. Founded in 2015, Cerebras specializes in wafer-scale AI processors, unlike traditional GPU-based systems that rely on clusters of interconnected chips. Its single-chip design, roughly the size of a dinner plate, packs hundreds of thousands of compute cores to accelerate AI training and inference. The technology has attracted major clients, including Amazon Web Services (AWS) and OpenAI, two of the biggest players in AI infrastructure. The IPO follows Cerebras’ second attempt at going public, after withdrawing an earlier filing last year due to a national security review of its partnership with G42, a UAE-based AI company. That deal, which contributed over 85% of its 2024 revenue, was eventually cleared by the U.S. Committee on Foreign Investment. The company has since expanded its customer base to include AWS and OpenAI, further boosting investor confidence. Analysts at Renaissance Capital noted the valuation appears high even when projecting 2028 sales (5.8x EV/sales) and EBITDA (12.8x) metrics. Nicholas Smith, a senior research analyst, called the $185 IPO price reasonable but said the current valuation is stretched. Despite skepticism, demand for Cerebras shares was overwhelming, with orders exceeding 20 times the available shares. The AI boom has driven tech giants to invest hundreds of billions into the sector, pushing semiconductor stocks to record highs. The Dow Jones U.S. Semiconductors Index, which includes Nvidia, Qualcomm, and Intel, has surged over 107% in the past year, compared to the S&P 500’s 26% gain. Cerebras’ debut underscores the competitive race to develop faster AI models, with investors betting on companies that can deliver next-generation computing solutions.