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Core
Content Distribution and P2P
Distributing one large file to many consumers from a single source bottlenecks on the source's upload bandwidth. P2P systems like BitTorrent split content into chunks and let peers serve chunks to each other, so capacity grows with the swarm instead of shrinking. Chunking enables parallel multi-source download and integrity checks; gossip protocols spread state and membership without a coordinator; CDN edge caching solves the same fan-out problem with managed infrastructure. Applied-AI interviews probe it because shipping multi-gigabyte model weights to a fleet is exactly a one-to-many fan-out problem.
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PRACTICE THIS IN REAL QUESTIONS
System Design for AI in ProductionDistribute a 10GB file from one bandwidth-limited source to thousands of machines as fast as possible.→RAG & Agent System DesignDesign a production RAG system over 10M documents serving ~1,000 QPS at sub-second latency.→System Design for AI in ProductionYour model looks great offline but drops CTR 2% in production. How do you ship safely and find the cause?→System Design for AI in ProductionDesign a large-scale recommendation feed (retrieval then ranking) for 100M users.→System Design for AI in ProductionDesign a real-time fraud detection system where fraud is under 1% of transactions.→System Design for AI in ProductionDesign a monitoring system for a fleet of 100+ production ML models.→
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