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Infrastructure Capacity Planning for AI Products

7 chapters · 34 lessons

1. 1. Data Center Fundamentals for Product Teams

   5 lessons

   Understand the physical and operational components that turn capital into usable compute capacity.

2. 2. Infrastructure Economics for AI Workloads

   5 lessons

   Model the true cost of inference and training including hidden infrastructure expenses.

3. 3. Latency and Geographic Distribution

   5 lessons

   Design systems that balance response time, data residency, and infrastructure availability.

4. 4. Capacity Constraints and Product Planning

   5 lessons

   Identify infrastructure bottlenecks and incorporate them into roadmap decisions.

5. 5. Architecture Patterns for Infrastructure Efficiency

   5 lessons

   Design systems that maximize useful work per unit of infrastructure capacity.

6. 6. Cross-Functional Capacity Conversations

   5 lessons

   Communicate infrastructure needs and trade-offs with finance, operations, and engineering teams.

7. 7. Future-Proofing Infrastructure Strategy

   4 lessons

   Anticipate capacity trends and build flexibility into long-term product plans.