Linux / amd64
More info https://catalog.ngc.nvidia.com/orgs/nvidia/teams/clara/collections/claradeploy
This asset requires the Clara Deploy SDK. Follow the instructions on the Clara Ansible page to install the Clara Deploy SDK.
The Clara Hardware Qualification Suite is a benchmarking and scoring utility that can be used to validate that hardware meets the minimum requirements for Clara. It can also help diagnose run-time performance issues.
sudo docker run -it --rm -v `pwd`:/output --name clara-hqs clara-hqs[:version]
# or, you can add `--entrypoint "./run -i -m -s -g -c single multi -e"` in the above command after `--rm`
# usage: ./run [-h] [-i] [-e] [-m] [-c args [args ...]] [-s] [-g]
# [-d ]
# optional arguments:
# -h, --help show this help message and exit
# -i, --info get hardware information
# -e, --export export output to a json file
# -m, --memory get memory read write performance
# -c args [args ...], --cpu args [args ...]
# get cpu performance by specifying space separated list
# of types of threading [args: single, multi]
# -s, --storage get Persistent storage read write performance
# -g, --gpu get gpu performance
# -d , --dir
# cuda toolkit samples directory
An End User License Agreement is included with the product. By pulling and using the Clara Deploy asset on NGC, you accept the terms and conditions of these licenses.
Release notes, the Getting Started Guide, and the SDK itself are available at the NVIDIA Developer forum.
For answers to any questions you may have about this release, visit the NVIDIA Devtalk forum.