Using CentOS 7.7 and a Tesla P100 GPU as an example. 1. Preparing the Base Environment Install the lspci command 1 yum install -y pciutils Check whether the GPU supports CUDA 1 2 3 lspci | grep -i nvidia 00:09.0 3D controller: NVIDIA Corporation GP100GL [Tesla P100 PCIe 12GB] (rev a1) List of CUDA-capable GPUs: https://developer.

1. Introduction to Velero Velero is an open-source Kubernetes cluster backup and migration tool from the heptio team (acquired by VMWare). Velero stores cluster resources in object storage. It supports AWS, Azure, and GCP object storage by default, is compatible with the S3 protocol, and can be extended to other platforms such as Aliyun OSS through plugins.

When installing Kubernetes with KubeSpray, the following error occurs 1 2 3 4 5 6 fatal: [node0]: FAILED! => { "assertion": "ip in ansible_all_ipv4_addresses", "changed": false, "evaluated_to": false, "failed": true } Check the inventory.ini configuration 1 2 3 4 5 6 7 cat inventory.ini # ## Configure 'ip' variable to bind kubernetes services on a # ## different ip than the default iface # ## We should set etcd_member_name for etcd cluster.

1. Test Layering The purpose of testing is to verify expected behavior and uncover latent defects. Testing strengthens confidence that a qualified product can be delivered, and it is what makes agile iteration possible. You could say that testing determines the development pace of a product. The network model has the seven-layer OSI and the four-layer TCP, while development patterns include MTV, MVC, MVP, MVVM, and so on.