What is ML system fault tolerance design?

Fault tolerance ensures ML systems continue operating correctly despite failures in components.

Fault-tolerant ML systems are designed to handle node failures, network issues, and model crashes gracefully. Techniques include redundancy, checkpoint recovery, graceful degradation, retry policies, and fallback models. Systems often degrade to simpler models when full pipelines fail to maintain availability.