4 Ways to Strengthen AI Infra Resilience | CoreWeave Blog

This post details four practical strategies for enhancing AI infrastructure resilience: 1. Designing training code for failure tolerance and reproducibility (checkpointing, containerization, orchestration). 2. Implementing comprehensive instrumentation across hardware and software layers to differentiate infrastructure and application errors, correlating metrics like MFU with system-level data. 3. Automating alerts and recovery mechanisms, citing internal testing showing automated recovery is 3x faster than manual intervention and helps maintain high Effective Training Time Ratios (ETTR). 4. Stress-testing infrastructure with NCCL tests, burn-in/out tests, and controlled failure simulations to identify bottlenecks and validate recovery behavior before production workloads.