The GPU server is a server equipped with a powerful graphics card. At first they were built for the creation of realistic 3D graphics at high speeds, but their architecture and high -speed processing make them suitable for some high -performance computing tasks. The core speed of the GPU is usually lower than the CPU, but they have thousands of core operations. Therefore, the operation speed of some operations on the GPU is faster than on the CPU.

　　What areas of GPU server are suitable for?

　　1. Support running Android simulator for mobile game hanging and automation script operation

　　2. Simple deep learning model. The GPU server uses the GPU server to provide training or prediction for machine learning. The GPU server has powerful computing capabilities. It can be used as a platform for deep learning training to directly connect to the network and maintain communication with the outside world. And if you use the GPU graphics card server as a simple deep learning training system, you can complete the basic deep learning model.

　　3. Complex deep learning model, the GPU graphics card server has strong computing power, and can use the GPU graphics card server as a platform for deep learning training.

　　Combined with the computing service provided by the cloud server CVM, the cloud storage service provided by the object storage, the online database service provided by the cloud database MySQL, the safety monitoring services provided by the cloud monitoring and Dayu, the picture and video codec, the GPU graphics card server is used for rendering. It also uses the GPU accelerator to issue instructions to allow all cores to work at the same time to speed up the speed of rendering and improve efficiency.