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Shares of closed up 68% at $311.07 on Thursday, their first day of trading on the Nasdaq, valuing the company at an estimated $86 billion. Shares had opened at $350 in their public-market debut on Thursday after pricing at $185 a piece the day before.

Shares of the company, which develops AI computing chips and large-scale AI systems, now trade under the ticker symbol CBRS. Earlier, Cerebras had priced its shares听well above the projected range of $150 to $160, raising at least $5.55 billion for the company, according to a CNBC .听

The IPO has been a long time coming for Sunnyvale, California-based Cerebras, which initially filed publicly for an IPO in September 2024. It withdrew the planned offering a year later, opting to continue raising capital in private markets.

Cerebras was a prodigious fundraiser as a private company. It secured $2.85 billion in equity funding and $1.85 billion in debt financing over the years, per Crunchbase data, securing most of that total in the past year.

Cerebras鈥� largest venture stakeholders include (11.3% of Class B common stock), (9.5%), (8.3%), (7.3%) and (6.5%). Benchmark, Foundation and Eclipse were lead investors in Cerebras鈥� $27 million Series A in 2016, so they appear poised to see the largest percentage gains on their holdings.

Investors in the Cerebras IPO, meanwhile, are banking on even more growth and valuation gains ahead. That said, growth of late has been impressive. Revenue increased to $510.0 million in 2025, representing year-over-year growth of 76%, and up more than six-fold over two years.

The company has an impressive list of partners and customers as well. Earlier this year, Cerebras signed a to partner with in integrating its technology into OpenAI鈥檚 compute systems. Other customers on its website include , and .

Looking ahead, Cerebras said in its IPO filing that it expects to invest more in research and development as well as sales and marketing. As for a marketing strategy, the company seems to have settled on speed, pitching itself as the builder of 鈥渢he fastest AI infrastructure in the world.鈥澨�

In coming quarters, we鈥檒l see if it succeeds in delivering on that promise at scale.

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