Simple and Easy to Use

User management of their own container management infrastructure usually involves installation, operation, expansion of their own cluster management software, configuration management system and monitoring solutions. The availability and scalability architecture and management of these systems are complex. With Baidu AI Cloud Cloud Container Engine (CCE), you only need to start the container instance cluster and specify the tasks you want to run. CCE will complete all cluster management.

Safe and Reliable

Compared with the isolation of tenants, devices and kernel modules caused by the imperfection of the kernel and namespace of self built containers, CCE users can enjoy the computing resources alone, and the cluster runs in the private network, so the service failure can automatically recover quickly and the migration is convenient.

Highly Efficient

The user image of CCE is used to upload and download massive containers at a high speed and start in seconds. The container service is used for building, testing and packaging integration. However, the network of self built container service is not guaranteed, so the efficiency of using image to create containers cannot be guaranteed.

Low Cost

CCE provides services free of charge, and does not need to invest in the construction, installation, operation and maintenance of its own cluster management infrastructure in the early stage. Users only need to pay for the cloud service resources created to store and run applications, which can save costs.

Seamless Adaptation of Artificial Intelligence Application

CCE supports containerized deployment of in-depth learning frameworks such as PaddlePaddle and Tensorflow, and provides platform services such as rapid deployment and startup, resource isolation, dynamic scheduling, high availability, and consistent development training and test environment for AI applications.