Cerebras Systems Files for $3.5 Billion IPO on Nasdaq
SUNNYVALE, Calif., May 4, 2026 — Cerebras Systems announced plans to commence the roadshow for its proposed initial public offering of Class A common stock. The company filed a registration statement on Form S-1 with the U.S. Securities and Exchange Commission to offer 28 million shares to the public.
The pricing range sits between $115 and $125 per share. At the high end, Cerebras could be valued at approximately $26.6 billion based on shares outstanding. Morgan Stanley, Citigroup, Barclays, and UBS Investment Bank will act as lead book-running managers for the proposed offering.
Underwriters have a 30-day option to purchase up to an additional 4.2 million shares. This over-allotment option would yield another $525 million in proceeds at the high end of the range. The company has applied to list its Class A common stock on the Nasdaq Global Select Market under the ticker symbol "CBRS."
This is not Cerebras's first attempt at going public. The company sought to go public in 2024 but later withdrew the paperwork as its business model shifted away from selling hardware and toward operating a cloud service based on its own chips. In April 2026, Cerebras filed for an IPO for a second time.
According to the HPCwire announcement, the company's flagship technology is the Wafer-Scale Engine 3 (WSE-3). The WSE-3 is described as the world's largest and fastest commercialized AI processor, measuring 58 times larger than a leading GPU chip.
Financial performance shows momentum. The company's fourth-quarter revenue grew about 76% year over year to $510 million, and it showed $87.9 million in net income for the period. In February 2026, the company announced a venture round that gave it a $23 billion valuation, with Advanced Micro Devices among its investors.
Andrew Feldman, Cerebras's co-founder and CEO, is not selling shares in the IPO. He will own 10.3 million shares after the IPO that would be worth up to $1.28 billion at the high end of the range, according to the filing. This retention of founder equity signals confidence in the company's trajectory (though it also means insiders aren't cashing out, which investors typically view as a positive signal).
The physical reality of Cerebras's technology matters here. Unlike traditional GPU clusters that require complex networking and synchronization across multiple chips, the WSE-3 integrates everything onto a single wafer-scale chip. This reduces the latency friction that engineers face when orchestrating distributed training jobs across racks of servers. The chip uses a fraction of the power per unit compute while delivering inference up to 15 times faster than leading GPU-based solutions as benchmarked on leading open-source models.
Relatively few technology companies have gone public since central banks raised interest rates in 2022 to fight rising prices, making investors less interested in unprofitable names. But with the ascent of generative AI products such as OpenAI's ChatGPT, investors have become rabid about betting on companies that benefit from the trend. Money-losing Cerebras competitor CoreWeave, which rents out Nvidia graphics processing units as a cloud service, raised $1.5 billion in an IPO last year.
Cerebras's chips are an alternative to Nvidia's popular GPUs. In January 2026, Cerebras said it would provide up to 750 megawatts of AI computing power to OpenAI through 2028 in a transaction worth over $20 billion. This deal represents a significant validation of the company's technology at scale.
Independent reporting from CNBC corroborates the IPO details and provides additional context on the company's market position relative to competitors.
The proposed offering will be made only by means of a prospectus. Copies of the preliminary prospectus may be obtained from Morgan Stanley, Citigroup, or Barclays. A registration statement relating to these securities has been filed with the SEC but has not yet become effective. These securities may not be sold nor may offers to buy be accepted prior to the time the registration statement becomes effective.
Whether the market will value Cerebras at $26.6 billion or somewhere lower remains to be seen. The AI infrastructure sector has seen significant volatility, and investor appetite for unprofitable growth stocks has fluctuated wildly over the past two years. The company will have broad discretion in how it uses the net proceeds, including working capital, operating expenses, capital expenditures, and potential acquisitions.
Time will tell if Cerebras can maintain its growth trajectory in a crowded AI chip market dominated by Nvidia. The IPO filing is just the first step in a process that could take weeks or months to complete. Whether users actually pay for the performance gains remains the real question.
Artūras Malašauskas is an AI Systems Integrator with 20+ years of production-grade web engineering experience. He has designed, shipped, and scaled enterprise Python/PHP systems for logistics, SaaS, and public-sector clients. For the past year, he has focused exclusively on AI integrations: deploying open-source LLMs, building generative media pipelines (image, audio, video), and engineering multi-agent workflows for real production environments. His standard: reproducibility, security, cost-efficient inference—no vaporware. He documents and evaluates emerging AI tooling, separating verified capabilities from marketing noise. Technical editor at: muza-ai.eu, ai-verslas.lt, ai-naujinos.lt Connect on LinkedIn
Artūras Malašauskas is an AI Systems Integrator with 20+ years of production-grade web engineering experience. He has designed, shipped, and scaled enterprise Python/PHP systems for logistics, SaaS, and public-sector clients. For the past year, he has focused exclusively on AI integrations: deploying open-source LLMs, building generative media pipelines (image, audio, video), and engineering multi-agent workflows for real production environments. His standard: reproducibility, security, cost-efficient inference—no vaporware. He documents and evaluates emerging AI tooling, separating verified capabilities from marketing noise. Technical editor at: muza-ai.eu, ai-verslas.lt, ai-naujinos.lt
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