The AI chip wars just got their first real plot twist in years. On Wednesday, Cerebras Systems — the company that builds processors the size of dinner plates — didn’t just go public. It detonated onto the Nasdaq. Shares priced at $185, opened at $350, peaked near $386, and settled at $311. That’s a 68% first-day pop, a $95 billion valuation, and the biggest U.S. tech IPO since Uber went public in 2019. ...
The biggest AI IPO of 2026 prices tomorrow — and it’s not OpenAI or Anthropic. It’s a company that builds chips the size of dinner plates. Cerebras Systems debuts on Nasdaq May 14 under ticker CBRS, targeting $150–$160 per share, $4.8 billion in gross proceeds, and a fully diluted valuation approaching $48.8 billion. The book is reportedly 20x oversubscribed. For a company with fewer than 800 employees valued at $8 billion just seven months ago, this isn’t a listing. It’s a coronation. ...
The AI chip market just got a lot more interesting. Cerebras Systems — the company that builds AI chips the size of dinner plates — filed updated paperwork raising its IPO price range to $150–$160 per share. That’s up from an already ambitious $115–$125 range set just last week, putting the company on track to raise up to $4.8 billion in what’s shaping up to be the biggest IPO of 2026. ...
AI chipmaker Cerebras Systems just filed to go public on Nasdaq under ticker “CBRS.” The headline numbers look incredible: $510 million in revenue, a swing from a $485 million net loss to $87.9 million in net income, and $24.6 billion in remaining performance obligations. But buried in the S-1 is a financial arrangement so tangled it deserves far more scrutiny than it’s getting. OpenAI isn’t just Cerebras’s biggest customer. It’s also an investor, a lender, and the single reason this IPO is happening at all. ...
The biggest bottleneck in AI isn’t training anymore. It’s inference — the moment a model actually does something useful. And AWS just partnered with Cerebras Systems to attack that bottleneck with an approach nobody has tried at this scale. The deal: Cerebras’ massive wafer-scale CS-3 chips will sit inside AWS data centers, accessible through Amazon Bedrock. The promise: 5x faster inference. The method: tearing the inference pipeline in half. Splitting the Brain Traditional AI inference runs both stages on the same GPU. You send a prompt, the chip processes it (prefill), then generates a response token by token (decode). One chip, both jobs. ...