Mastering GKE Spot VMs: Building Interrupt-Resilient AI Workloads at 90% Cost Savings

As organizations scale AI training on cost-effective Spot VMs, handling unexpected interruptions becomes critical. This guide reveals three essential patterns—signal trapping, external checkpointing, and idempotent design—that enable production-grade AI workloads on ephemeral cloud resources. Mastering these techniques transforms Spot VMs from risky to reliable, delivering massive cost savings without sacrificing stability.