Introduction
To optimize Together's cloud infrastructure and reduce latency for users accessing AI models globally, we need to take a comprehensive approach that considers both technical and user-centric aspects. I'll analyze the current situation, identify key pain points, and propose strategic solutions to enhance the user experience while optimizing our infrastructure.
Step 1
Clarifying Questions (5 mins)
Why it matters: Helps prioritize infrastructure improvements in specific regions Expected answer: Higher latency in Asia and South America, with a growing user base in these regions Impact on approach: Would focus on edge computing solutions in these high-growth areas
Why it matters: Determines caching strategies and data transfer optimizations Expected answer: Large language models and computer vision models are most popular, ranging from 1GB to 100GB in size Impact on approach: Would explore efficient model compression and transfer techniques
Why it matters: Influences the flexibility and potential solutions for optimization Expected answer: Currently using a single cloud provider with some regional data centers Impact on approach: Would consider multi-cloud strategies or CDN integration for improved global coverage
Why it matters: Ensures our solutions align with broader business objectives Expected answer: Reduce average global latency by 50%, increase user retention by 20%, and support 3x user growth in the next year Impact on approach: Would prioritize solutions that directly impact these KPIs and propose appropriate metrics for tracking progress
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