Programs and data must be loaded into memory for CPU processing, and then be placed...

The statement describes the fundamental operation of the Von Neumann architecture, which serves as the core foundation for modern server hardware used in cloud computing environments. In the official Huawei HCIA-Cloud Computing curriculum, specifically under the "Server Basics" module, the distinction between volatile and non-volatile storage is emphasized as a critical hardware concept. The Central Processing Unit (CPU) acts as the primary compute engine but cannot execute instructions directly from secondary storage devices, such as Hard Disk Drives (HDDs) or Solid State Drives (SSDs), due to the massive latency gap between CPU clock speeds and disk access times.

Therefore, for any task to be performed, the relevant programs and data must first be loaded into the system memory, or Random Access Memory (RAM). RAM provides the high-speed, low-latency access required for the CPU to fetch and execute instructions efficiently. However, RAM is volatile, meaning all stored data is lost when the power supply is interrupted. To ensure long-term preservation and data persistence, processed results or saved files must be written back to external or secondary storage. These storage devices are non-volatile and provide the capacity needed to store operating systems, applications, and user data across reboots. In a cloud environment, such as one utilizing Huawei FusionServer Pro, this cycle of data movement between storage and memory is critical for maintaining system performance. The memory acts as a high-speed buffer for active tasks, while the storage provides the persistent layer. Understanding this hardware interaction is vital for cloud administrators because virtualization performance often hinges on the balance between memory capacity and storage I/O throughput.

====================