Spot VMs offer a cost-effective way to access high-performance cloud resources, making them an excellent choice for teams developing AI products. They can bring savings of up to 90% off on-demand pricing and provide flexibility in choosing the right instance type for the job. However, spot VMs come with limitations, including potential interruptions at any time and limited availability. To mitigate these risks, spot automation can be used to assess workload friendliness, automate provisioning, fall back on on-demand instances when necessary, diversify instance types, and schedule new pods to spot automatically. By implementing spot VM automation, businesses can improve their product margin by reducing costs and generating considerable savings.