Quick Start and Basic Operation
NVIDIA DGX A100 DU-09821-001 _v01|26
See the NVIDIA Containers and Deep Learning Frameworks User Guide at https://
docs.nvidia.com/deeplearning/dgx/user-guide/index.html for additional instructions,
including an example of logging into the NGC container registry and launching a deep
learning container.
4.6. Running the Pre-flight Test
Instructions for running the DGX stress test.
NVIDIA recommends running the pre-flight stress test before putting a system into a
production environment or after servicing. You can specify running the test on the GPUs, CPU,
memory, and storage, and also specify the duration of the tests.
To run the tests, use NVSM.
Syntax:
$ sudo nvsm stress-test [--usage] [--force] [--no-prompt] [<test>...] [DURATION]
For help on running the test, issue the following.
~$ sudo nvsm stress-test --usage
Recommended Command
The following command runs the test on all supported components (GPU, CPU, memory, and
storage), and takes approximately 20 minutes.
~$ sudo nvsm stress-test --force
4.7. Running NGC Containers with GPU
Support
To obtain the best performance when running NGC containers on DGX A100 systems, the
following methods of providing GPU support for Docker containers are available:
‣
Native GPU support (included in Docker 19.03 and later)
‣
NVIDIA Container Runtime for Docker (nvidia-docker2 package)
The method implemented in your system depends on the DGX OS version installed.
DGX OS Releases Method Included
5.0
‣
Native GPU support
‣
NVIDIA Container Runtime for Docker
(deprecated - availability to be removed in a
future DGX OS release)
Each method is invoked by using specific Docker commands, described as follows.
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