Cerebras Systems: $850 Million Credit Facility Expands AI Infrastructure Funding To $2.85 Billion

By Amit Chowdhry ● Yesterday at 7:36 AM

Cerebras Systems announced it has closed an $850 million five-year syndicated revolving credit facility, bringing its total capital raised over the past eight months to $2.85 billion.

The new facility follows the company’s $1 billion Series G round in September 2025 and an additional $1 billion Series H financing in January 2026, further strengthening its balance sheet as it scales AI infrastructure capacity.

The credit facility provides non-dilutive capital that Cerebras plans to use to expand its data center footprint and support continued growth. The financing was arranged by a syndicate of major financial institutions, including Morgan Stanley, Citigroup, Barclays, UBS Investment Bank, Crédit Agricole CIB, MUFG, Mizuho, TD Securities, and Silicon Valley Bank, a division of First Citizens Bank.

Cerebras is focused on building high-performance AI infrastructure, including its flagship Wafer-Scale Engine 3 processor, which the company positions as significantly larger and faster than traditional GPU-based systems. Its architecture is designed to deliver improved performance and energy efficiency for both AI training and inference workloads.

The company’s systems are deployed by enterprises, research institutions, and government organizations globally, supporting increasingly complex AI workloads across industries.

With continued access to both equity and credit financing, Cerebras is positioning itself to compete in the rapidly growing AI infrastructure market, where demand for high-performance compute and scalable data center capacity continues to accelerate.

KEY QUOTE:

“We are pleased to have closed our inaugural credit facility with the support of a syndicate of leading financial institutions. This additional capital provides us with non-dilutive capital to further expand our data center capacity and to fund our growth.”

Bob Komin, Chief Financial Officer, Cerebras Systems

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