Your question is Scalable LLM Product Deployment. Take a moment with it on the right.
Talk me through your thinking if you like. When you're confident, submit your answer and I'll grade it like a real screen (7/10 or better passes).
How do you ensure scalability and reliability when deploying LLM-based products at Giga? Discuss the end-to-end serving architecture, including request routing, retrieval, model inference, fallbacks, and observability. Explain how you would separate online and batch workloads, evaluate changes, control cost, and detect failures such as latency spikes, model drift, provider outages, and training-serving skew.