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
email@example.com you will land into a login node connected to the 8 GPUs server that
use with slurm. Slurm is installed with enroot+pyxis so you can use containers+slurm. The server is
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
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.
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: