Guide to mvaictl (Command Line Interface)¶
GPU Cluster Manager offers and supports a command line interface package as part of it's product offering. This guide provides information on how to install, use, and troubleshoot the mvaictl command and it's subcommands. It also provides information on each subcommand, it's use, and related subcommands.
Installing mvaictl¶
To install mvai, download the package using:
Extract the mvaictl binary from the tar file using:
(Optional) Place the binary in a known location, such as /usr/local/bin:
Using mvaictl¶
To use mvaictl, from the directory where the binary exists, run ./mvaictl to list the options of the command:
./mvaictl
MemVerge.ai CLI, managing Kubernetes clusters with GPUs and AI workloads.
Find more information at: https://docs.memverge.com/AI
Usage:
mvaictl [command]
Resource Management
cluster Operations on clusters
department Operations on departments
node Operations on nodes
nodegroup Operations on nodegroups
project Operations on projects
Workload Management
compute Operations on compute assets
environment Operations on environment assets
volume Operations on volumes
workload Operations on workloads
workspace Operations on workspaces
Additional Commands:
completion Generate the autocompletion script for the specified shell
context Operations for context
help Help about any command
kubectl Run kubectl commands
server Operations for MemVerge.ai servers
Flags:
-c, --config string Path to mvaictl config directory (default "/home/ubuntu/.mvaictl")
-h, --help help for mvaictl
-v, --version version for mvaictl
Use "mvaictl [command] --help" for more information about a command.
Troubleshooting mvaictl¶
You may encounter the following when using mvaictl. The message is displayed because the cluster admin must first login to the cluster to perform actions. See mvaictl server login for details.