In today's semiconductor design landscape, meeting the escalating compute demands of advanced nodes is a growing challenge. Transitioning from seven nanometers to three nanometers requires an exponential increase in computing power, especially for memory and performance-intensive tasks like simulation and physical verification. Cloud computing emerges as a solution, offering scalability and efficiency for EDA workloads. Chris Clee, a Principal Product Engineer at Siemens, discusses the increasing role of cloud computing in high-performance computing (HPC). Some semiconductor designers are already embracing the cloud for EDA workflows, while others have plans to transition. However, the complexity and cost opacity in the cloud pose challenges. Selecting the right cloud infrastructure for specific workloads is crucial. Siemens collaborates with major cloud providers to create "cloud flight plans" that guide customers in configuring optimal cloud computing environments. These flight plans enhance the performance of Calibre physical verification tools, including Calibre nmDRC. Siemens provides resources, technical support, and infrastructure-as-code reference environments to help customers navigate the cloud efficiently.