Hybrid cloud is ideal for workloads where flexibility and scalability matter, such as development and test environments, seasonal peaks, data analytics or AI and machine learning workloads. In these cases you benefit from pay per use, access to GPU capacity and cloud scalability without overloading on premises resources. Some workloads are better kept on premises. Legacy applications tightly coupled to specific hardware or network integrations are often difficult to migrate or run in hybrid mode. Extremely low latency workloads, such as real time industrial automation or financial trading, also tend to perform better locally. Finally, if you face strict compliance requirements or highly sensitive data, or workloads that constantly move large volumes of data between cloud and on premises environments such as video processing or heavy monitoring, a hybrid setup can be inefficient or even not allowed. In those cases, keeping workloads local is often the most sensible choice.