Skip to content

Software Deployment

Software deployment on DGX-2 is based on containers. NVIDIA provides a wide range of prepared Docker containers with a variety of different software. Users can easily download these containers and use them directly on the DGX-2.

The catalog of all container images can be found on NVIDIA site. Supported software includes:

  • TensorFlow
  • MATLAB
  • GROMACS
  • Theano
  • Caffe2
  • LAMMPS
  • ParaView
  • ...

Running Containers on DGX-2

NVIDIA expects usage of Docker as a containerization tool, but Docker is not a suitable solution in a multiuser environment. For this reason, the Apptainer/Singularity container solution is used.

Singularity can be used similarly to Docker, just change the image URL address. For example, original command for Docker docker run -it nvcr.io/nvidia/theano:18.08 should be changed to singularity shell docker://nvcr.io/nvidia/theano:18.08. More about Apptainer/Singularity here.

For fast container deployment, all images are cached after first use in the lscratch directory. This behavior can be changed by the SINGULARITY_CACHEDIR environment variable, but the start time of the container will increase significantly.

$ ml av Singularity

---------------------------- /apps/modules/tools ----------------------------
   Singularity/3.3.0

MPI Modules

$ ml av MPI

---------------------------- /apps/modules/mpi ----------------------------
   OpenMPI/2.1.5-GCC-6.3.0-2.27    OpenMPI/3.1.4-GCC-6.3.0-2.27    OpenMPI/4.0.0-GCC-6.3.0-2.27 (D)    impi/2017.4.239-iccifort-2017.7.259-GCC-6.3.0-2.27

Compiler Modules

$ ml av gcc

---------------------------- /apps/modules/compiler ----------------------------
   GCC/6.3.0-2.27    GCCcore/6.3.0    icc/2017.7.259-GCC-6.3.0-2.27    ifort/2017.7.259-GCC-6.3.0-2.27

Comments