Sequenced growth by building software first, then scaling infrastructure.
Added significant talent and prioritized direct customer feedback to guide platform development.
Shifted cloud architecture to support agent-driven applications, coining the term "AI-native cloud."
Built a holistic, integrated platform primarily in-house, emphasizing the importance of native integration over bolt-on acquisitions.
Chose to focus on AI inference rather than training, leveraging strengths in developer platforms and global-scale infrastructure.
Coding remains a major use case, but generative media and personal productivity agents are rapidly emerging.
Customers initially use closed-source models to find product-market fit, then shift to open-weight models for cost and control.
The gap between frontier and near-frontier models is narrowing, driving more agentic workflows.
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