Cerebras Systems has raised $1 billion in Series H funding, pushing its post-money valuation to around $23 billion, as investor appetite for large-scale AI infrastructure continues to grow.
The round was led by Tiger Global, with participation from Benchmark, Fidelity Management & Research Company, Atreides Management, Alpha Wave Global, Altimeter, AMD, Coatue, and 1789 Capital, among others.
The fresh capital will support Cerebras as it scales production, expands customer deployments, and continues developing next-generation AI processors at a time when demand for high-performance AI compute is accelerating globally.
AI infrastructure company
Founded by Andrew Feldman, Gary Lauterbach, Sean Lie, Michael James, and Jean-Philippe Fricke, Cerebras has built its reputation around a single idea: making AI faster by rethinking how processors are designed.
It is based in Sunnyvale, California. Cerebras designs specialised hardware built specifically for training and running large AI models. Its flagship processor, the Wafer Scale Engine, is a single chip the size of an entire silicon wafer, a sharp departure from traditional GPU-based systems.
The latest version, WSE-3, is designed to deliver significantly faster training and inference speeds while using less power per unit of compute.
Cerebras says its systems are already being used by large enterprises, research institutions, and government organisations across multiple continents, both in private data centres and through cloud deployments.
The company positions its technology as an alternative to conventional AI infrastructure, particularly for organisations training very large models that struggle with the complexity and energy demands of GPU clusters.
With this latest funding round, the company is doubling down on that approach as competition intensifies in the race to power the next wave of AI systems.
