The Serverless AI Era Begins: How Modal Cracked the GPU Cold Start Problem

GPU cold starts—the time required to spin up new inference instances—currently last minutes to hours, making serverless scaling impractical for AI workloads. Modal's engineering breakthrough cuts this to tens of seconds using advanced checkpoint/restore techniques and GPU-aware container loading, directly solving the utilization bottleneck that determines inference deployment economics. This 40x improvement makes true serverless AI viable at scale.