Load Balancing for GenAI Quiz

What you'll be asked

1. Which load balancing strategy is most effective for preventing a single GenAI model instance from being overwhelmed by a sudden spike in long-context summary requests?
2. Why is 'Round Robin' load balancing generally considered suboptimal for production-grade Large Language Model (LLM) inference endpoints?
3. When deploying a GenAI application across multiple regions, which mechanism is primarily used to direct users to the geographically closest inference cluster?
4. In a GenAI architecture using an API Gateway for load balancing, what is the primary benefit of implementing 'Request Hedging'?
5. You are implementing a weighted load balancing strategy for a hybrid GenAI setup. You have 2 nodes with A100 GPUs and 2 nodes with T4 GPUs. Why should you assign higher weights to the A100 nodes?

Answers and explanations come after you submit.