This page is for Self-Hosted, version v3.0 (default).
For other versions, use one of these documentation indexes:
- v3.0 (default): https://docs.nvidia.com/run-ai/self-hosted/v3.0/llms.txt
- v2.26: https://docs.nvidia.com/run-ai/self-hosted/v2.26/llms.txt
- v2.25: https://docs.nvidia.com/run-ai/self-hosted/v2.25/llms.txt
- v2.24: https://docs.nvidia.com/run-ai/self-hosted/v2.24/llms.txt
describe an environment asset
runai environment describe ENVIRONMENT_NAME [flags]
Examples
# Describe an environment asset with a default projectrunai environment describe pytorch-env# Describe an environment asset in a specific projectrunai environment describe pytorch-env -p <project_name># Describe an environment asset with specific output formatrunai environment describe pytorch-env -o json
Options
-h, --help help for describe-o, --output string Output format: table, json, or yaml. Default is table. (default "table")-p, --project string Specify the project. Higher-scope environments in the same tenant are included. Use 'runai project set <project>' to set the default.
Options inherited from parent commands
--config-file string config file name; can be set by environment variable RUNAI_CLI_CONFIG_FILE (default "config.json")--config-path string config path; can be set by environment variable RUNAI_CLI_CONFIG_PATH-d, --debug enable debug mode-q, --quiet enable quiet mode, suppress all output except error messages--verbose enable verbose mode
SEE ALSO
- runai environment - Environment asset management