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.

First, the compiler needs to compile .java text files into .class bytecode, and then the JVM executes the .class bytecode files. The process is not complicated; this article mainly records some of the related steps during compilation and runtime. 1. A Single Source File Create a text file Hello.java 1

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.