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OpenAI's $20 Billion Cerebras Deal Signals Massive AI Infrastructure Push

OpenAI's $20 Billion Cerebras Deal Signals Massive AI Infrastructure Push. Source: Focal Foto, CC BY-SA 4.0, via Wikimedia Commons

OpenAI is reportedly set to spend over $20 billion with AI chip startup Cerebras over the next three years, marking a significant expansion of an already substantial computing partnership. According to The Information, the agreement — which Reuters could not independently verify — would give OpenAI access to servers powered by Cerebras' specialized chips while also granting the ChatGPT maker an equity stake in the firm.

This latest commitment builds on an earlier deal announced in January, where OpenAI agreed to purchase up to 750 megawatts of computing capacity from Cerebras in a contract valued at over $10 billion. The newly reported arrangement not only exceeds that figure but also includes approximately $1 billion from OpenAI to help Cerebras finance the construction of data centers dedicated to running AI workloads.

The scale of the investment reflects the surging demand for inference computing — the process AI models use to generate real-time responses. As tech companies race to deploy more advanced reasoning models and consumer-facing AI applications, access to high-performance chips has become a critical competitive advantage.

If total spending reaches the projected $30 billion threshold, OpenAI could receive warrants representing up to 10% ownership in Cerebras, with its equity stake potentially growing alongside its financial commitments. Cerebras, headquartered in Sunnyvale, California, was expected to publicly disclose parts of the arrangement as early as Friday, the report noted.

Neither OpenAI nor Cerebras has officially confirmed the details. OpenAI did not respond to media inquiries outside business hours, while Cerebras declined to comment.

The deal underscores a broader industry trend of AI leaders locking in long-term chip supply agreements to secure the infrastructure needed to stay competitive in an increasingly resource-intensive technology landscape.

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