Cerebras Inference
Run AI models through a hosted service backed by Cerebras chips.
Cerebras Funding History
Cerebras builds the Wafer-Scale Engine processor and provides infrastructure for AI inference. It began trading on Nasdaq as CBRS in 2026.
Company Overview
Founded 2016 · Sunnyvale, California, US
Official WebsiteCerebras Funding Timeline
IPO
$5.55B
The main date is the S-1 filing date. The listing followed separately. The prospectus listed working capital, operating expenses and capital expenditures among the planned uses of proceeds.
Likely listing date per event note; hedge retained pending prospectus confirmation
Source · cnbc.com ↗
Series H
US$1 billion
Cerebras said the financing valued the company at approximately $23 billion post-money.
Led by Tiger Global.
Source · cerebras.ai ↗Series G
US$1.1 billion
Cerebras planned to invest in processor design and packaging after announcing the completion of the oversubscribed round.
Led by Fidelity Investments, Atreides. Participation included Tiger Global, Valor Equity Partners, Altimeter Capital, Alpha Wave, Benchmark.
Source · cerebras.ai ↗Series F
US$250 million
Cerebras said the proceeds would support deployments of its CS-2 system to new customers and expansion into additional markets.
Led by Alpha Wave Ventures.
Source · cerebras.ai ↗
Cerebras Founding Team
Andrew Feldman, Gary Lauterbach, Michael James, Sean Lie, and Jean-Philippe Fricker founded Cerebras to bring wafer-scale computing to market.
Cerebras Products
Cerebras Company Development
Wafer-Scale Systems Become a Hosted Service
The Wafer-Scale Engine gave Cerebras a hardware platform around which to build inference services. Its 2026 Nasdaq listing added a public-market chapter to a business that spans both processors and hosted inference capacity.
Cerebras Competitive Landscape
Custom Silicon at Different Layers
Cerebras designs its own wafer-scale processor and sells inference on that architecture. General Compute rents capacity from colocated systems built on non-Nvidia ASICs, so both offer alternatives to mainstream GPUs while operating at different layers of the supply chain.
