OpenAI Signs $10 Billion AI Compute Deal with Cerebras Systems

January 15, 2026
OpenAI has entered a multi-year agreement worth over $10 billion with AI chipmaker Cerebras Systems to secure 750 megawatts of computing capacity through 2028. The partnership aims to enhance the speed and efficiency of OpenAI’s inference workloads, including ChatGPT.

Bloomberg reports that OpenAI has signed a multi-year agreement valued at more than $10 billion with Cerebras Systems to expand its computing capacity. Under the deal, Cerebras will provide 750 megawatts of compute power through 2028, hosting the infrastructure across multiple data centers.

The agreement will supply OpenAI with dedicated hardware optimized for faster inference, enabling quicker responses in applications such as ChatGPT. Both companies said the rollout will occur in stages and focus on improving real-time AI performance.

Cerebras, known for its wafer-scale chips designed for large-scale AI processing, will operate the systems and sell cloud services powered by its technology. OpenAI will pay for access to these services to support its growing suite of AI products.

Cerebras CEO Andrew Feldman described the partnership as a major milestone for the startup, positioning its technology as a high-speed alternative to GPU-based systems. OpenAI executives said the collaboration strengthens the company’s compute portfolio and supports scaling AI applications to more users.

We hope you enjoyed this article.

Consider subscribing to one of our newsletters like Silicon Brief or Daily AI Brief.

Also, consider following us on social media:

Subscribe to Silicon Brief

Weekly coverage of AI hardware developments including chips, GPUs, cloud platforms, and data center technology.

Market report

AI’s Time-to-Market Quagmire: Why Enterprises Struggle to Scale AI Innovation

ModelOp

The 2025 AI Governance Benchmark Report by ModelOp provides insights from 100 senior AI and data leaders across various industries, highlighting the challenges enterprises face in scaling AI initiatives. The report emphasizes the importance of AI governance and automation in overcoming fragmented systems and inconsistent practices, showcasing how early adoption correlates with faster deployment and stronger ROI.

Read more