NVIDIA supports the Covid CXR Hackathon by providing access to a POC system equipped with 8 GPUs. The system has the following specifications:
Available GPUs are listed in the table below.
| GPU # | GPU | GPU memory |
|---|---|---|
| 0 | Ampere A40 | 48GB GDDR6 |
| 1 | Ampere A40 | 48GB GDDR6 |
| 2 | Ampere A30 | 24GB HBM2 |
| 3 | Volta V100 | 32GB HBM2 |
| 4 | Ampere A100 | 40GB HBM2 |
| 5 | Ampere A100 | 40GB HBM2 |
| 6 | Ampere A10 | 24GB GDDR6 |
| 7 | Turing T4 | 16GB GDDR6 |
In order to get access to the system please contact us on slack.
Once you have your credentials, you shall be able to ssh to the login node using ssh
your_login@nvpoc.ddnsfree.com you will land into a login node connected to the 8 GPUs server that
you
can
use with slurm. Slurm is installed with enroot+pyxis so you can use containers+slurm. The server is
shared
but is managed by slurm, so in other words whenever you can queue a job you are welcome to use it.
NFS shared folders are /users /sw /data and /scratch. All are persistent.
Please do not leave
any
sensitive data after using the server.
To launch an interactive session on the server from the login node
srun --gpus N --pty bash -i
where N in the number of GPUs requested.
Please refer to SLURM documentation for additional options.
Medical
Imaging augmented with AI|NVIDIA
MONAI a freely available, community-supported, PyTorch-based framework
for deep learning in
healthcare
imaging. It provides domain-optimized foundational capabilities for developing healthcare imaging
training
workflows in a native PyTorch paradigm.
NVIDIA self paced online courses: