Solution Architecture: AI Scalability & Performance Planning
Apply traditional scalability assessment to AI systems. Understand AI performance metrics, plan for growth requirements, and evaluate architecture options from a business perspective.
What We Covered
Four types of AI scaling: user scaling, data scaling, request scaling, geographic scaling
Performance benchmarking: less than 2 seconds interactive, less than 30 seconds batch processing
Architecture options: Cloud APIs (small business), Custom applications (mid-market), Multi-vendor + on-premise (enterprise)
Bottleneck analysis: token limits, API rate limits, processing queues, cost scaling patterns
Business capacity planning: 10 users → 100 users → 1,000+ users with cost projections
Questions? Ask Wanjun
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Working on implementing the concepts from this episode? Running into challenges or want to share your progress? I'd love to hear from you.
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