Efficiently deploying machine learning models in the cloud involves navigating challenges like resource management and balancing cost and performance. This is particularly crucial for models with fluctuating computational demands. The introduction of burstable VMs and autoscaling for data science model deployment in OCI addresses these challenges by providing flexible resource allocation.