We realized that there needed to be an infrastructure platform, like AWS or Stripe, specifically focused on data to power the AI industry.

We're expanding Azure with over 70 data center regions, more than any other provider, to support the growing demands of AI workloads.

Azure's leadership in AI consumption provides unparalleled insights into designing cloud infrastructure for AI workloads.

I believe I could build the data infrastructure platform to support the entire AI ecosystem.

We're observing a trend where enterprises prefer integrated solutions over a collection of disparate tools, aiming for transparency and scalability in AI deployment.

We're providing a full spectrum of compute options, from serverless Azure functions to Azure Container apps, to optimize performance for agentic scenarios.

At Scale, we power the data infrastructure for the entire AI industry, with every major large language model built on top of our data engine, and we partner with enterprises and governments to implement this technology for their unique challenges.

We're taking a systems approach to optimize the entire infrastructure stack, ensuring the lowest cost and highest scale for building cloud and AI workloads.

The success of our operational data business created the momentum to explore building applications, which was a significant evolution for Scale AI.