Cerebras Systems Raises $1 Billion, Valued at $23 Billion Ahead of IPO
Cerebras Systems has raised $1 billion in new funding, valuing the company at $23 billion, according to Bloomberg. The round was led by Tiger Global Management, with participation from Benchmark, Fidelity Management & Research Company, and AMD.
The new valuation marks a sharp rise from the $8.1 billion figure reported in September 2025. Benchmark contributed about $225 million through two dedicated investment vehicles formed specifically for the deal, TechCrunch reported. The funding strengthens Cerebras’ position as one of the most valuable privately held AI hardware firms ahead of its expected IPO in the second quarter of 2026.
Led by CEO Andrew Feldman, Cerebras develops large-scale AI processors known as the Wafer Scale Engine. The company claims its systems run AI models several times faster than those powered by Nvidia hardware. Cerebras also provides cloud-based computing services to clients including OpenAI, Meta, IBM, and Mistral AI.
The company recently signed a multiyear agreement worth over $10 billion to supply 750 megawatts of computing capacity to OpenAI through 2028. The deal and the latest funding round position Cerebras to expand its data center infrastructure and scale production as it moves toward a public listing.
We hope you enjoyed this article.
Consider subscribing to one of our newsletters like AI Funding Brief, Silicon Brief or Daily AI Brief.
Also, consider following us on social media:
More from: Funding
Subscribe to AI Funding Brief
Industry analysis
2025 Global Business Services Agenda: Gen AI Takes Center Stage
This industry analysis by The Hackett Group explores the transformative impact of generative artificial intelligence (Gen AI) on global business services (GBS) in 2025. The study highlights the shift from exploration to acceleration of Gen AI initiatives, with 89% of executives advancing these projects to improve customer satisfaction, innovate products, and reduce costs. The report also discusses the challenges and strategies for successful Gen AI adoption, emphasizing the need for a technology-enabled operating model and the importance of reskilling the workforce.
Read more