The GPU cloud host and physical server are two different computing resources. They have some differences in hardware structure, flexibility, management and performance. The following are some of their main differences:

　　1. Hardware architecture:

　　GPU cloud host:

　　The GPU cloud host uses virtualization technology to divide the physical GPU resources into multiple virtual GPUs for multiple users or virtual machines. This means that multiple users can share a physical GPU, and each user gets the performance of the virtual GPU.

　　Physical server:

　　The physical server has an independent physical GPU, which is usually a hardware specially purchased for the server. Each physical server has the exclusive access to the entire GPU, and does not need to be shared with other users or virtual machines.

　　2. Flexibility and resource allocation:

　　GPU cloud host:

　　GPU cloud hosts are usually more flexible, allowing GPU resources to dynamically adjust according to demand. Users can choose different GPU configurations according to actual needs and upgrade or downgrade when needed. In addition, virtualization technology also allows multiple virtual machines on the same physical machine at the same time, and each virtual machine can access the virtual GPU.

　　Physical server:

　　The GPU resources of the physical server are fixed and cannot be adjusted easily. If you need more GPU performance, you may need to buy more powerful physical servers or add additional physical GPUs.

　　3. Management and maintenance:

　　GPU cloud host:

　　GPU cloud hosts are usually managed and maintained by cloud service providers. Users do not need to care about hardware failure, maintenance and update, and these tasks are responsible for cloud service providers.

　　Physical server:

　　Physical server requires users or organizations to be responsible for management and maintenance. This includes the repair of hardware failure, system update, security configuration, etc. Users have greater control over the server, but they need to bear more management responsibilities.

　　4. Performance and delay:

　　GPU cloud host:

　　Although the GPU cloud host provides a certain flexibility, it may be slightly inferior to the physical server because virtualization introduces some overhead. For some applications with high performance requirements, such as deep learning training, they may be more inclined to directly use physical servers.

　　Physical server:

　　Physical servers can usually provide performance closer to hardware performance. For applications with high performance requirements, physical servers may be more suitable.

　　The choice of GPU cloud host or a physical server depends on the specific needs. If flexibility, fast resource adjustment and management of service providers are required, the GPU cloud host may be a better choice. If it has higher requirements for hardware performance, requires more control, and can be managed and maintained by itself, the physical server may be more suitable.