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Home » How OpenAI Optimizes for Fast Compute and Scalable Infrastructure To Support AI Apps
Cloud Wars Minute

How OpenAI Optimizes for Fast Compute and Scalable Infrastructure To Support AI Apps

Will HawkinsBy Will HawkinsFebruary 4, 2026Updated:February 4, 20262 Mins Read
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Welcome to this Cloud Wars Agent and Copilot Minute. In these discussions, I’ll be analyzing opportunities, impact, and outcomes possible with AI; this episode focuses on the importance of combining fast compute with scalable data infrastructure to support AI applications.

Highlights

00:25 — OpenAI partnered with Cerebras to bring 750 megawatts of ultra-low latency AI compute into its platform. Cerebras makes wafer-scale AI chips to eliminate data bottlenecks during AI inference. OpenAI has also scaled PostgreSQL to support 800 million users, which is crucial for handling millions of queries per second and managing user data at global scale. These investments are foundational to optimizing for real-time interactions and ensuring AI systems are not starved for data.

01:39 — The Cerebras partnership improves how fast AI answers questions, while the PostgreSQL developments enhance how AI systems store, fetch, and manage data. These investments are complementary, demonstrating the importance of both fast compute and scalable data infrastructure.

03:40 — Microsoft’s Azure database for PostgreSQL supports extremely high throughput workloads, showcasing the importance of managed data services while OpenAI’s PostgreSQL scaling story (running on Azure) emphasizes the need for architecting data and AI together. Winning with AI isn’t just about bigger models; it’s about resilient infrastructure.

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