You can quickly build an elastic and available cloud platform on which the Kubernetes container runs by two simple steps of creating clusters and creating services.
Select different regions to create and delete clusters, and implement the hybrid deployment of various server types freely according to the demand.
Support all native k8s resources, and provide rich network, storage, schedule, routing and privilege configuration.
Integrate with VPC to provide a safe and high-performance deployment scheme. Integrate with BLB to provide the container access ability. Integrate with the cloud storage to provide persistent storage ability.
Cluster scaling is officially supported by CA component of Kubernetes. It supports multiple scaling groups and node templates, and it is more flexible and conforms to the open-source native application mode.
Our many years’ experience in massive container cluster supports many core businesses, including driverless technology, finance and advertisement.
PaddlePaddle Cloud Deep Learning CCE integrates with PaddlePaddle Cloud to provide the quick distributed training solution in the cloud based on Kubernetes, Docker, and paddlecloud.