What to Check When Evaluating Production AI Inference Architecture

https://city-wiki.win/index.php/What_to_Check_When_Evaluating_Production_AI_Inference_Architecture

When evaluating production AI inference architecture, key aspects to check include latency, throughput, scalability, cost efficiency, and model accuracy under load. It also involves monitoring resource utilization, handling of peak traffic, and reliability including failover and consistency. For critical systems such as healthcare or finance, ensure input validation and output explainability. Security concerns like adversarial attacks or data leakage should be considered.