Posted on
Updated on
August 5, 2026
ERISXdl Pricing Policy
2026/01 Charges are now being waived for gpu usage on the DGX nodes.
Connecting to ERISXdl
The ERISXdl Platform is accessed via the Linux command-line interface tool ssh so that some familiarity with Linux terminal commands is required. More precisely, users can ssh from within the Mass General Brigham network or via VPN if offsite. Please be aware, however, that in order to use the Slurm job scheduler on ERISXdl the user's group must first submit an application as described under the section "Application Procedure for the ERISXdl platform" here.
Connect from a PC running Microsoft Windows:
- (Recommended) Use the MobaXterm application to connect.
For more information on the features of MobaXterm, reference their documentation.
- Download the Free Home Edition of MobaXterm here and extract the files from the download to your preferred location. Run the installer and then application if you downloaded the Installer edition, or run the .exe file if you downloaded the Portable edition.
- Once the application is open, select "Session" from the top toolbar. This will open a new pop-up window.
- Select "SSH" as the session type, and fill in the specified fields as followed. Once done, click "OK"
- Remote host: erisxdl6.research.partners.org
- Specify username (make sure it's checked off): your Mass General Brigham user ID
- Port: 22
- A new terminal tab should open in the MobaXterm window, prompting for your password. Enter your Mass General Brigham password to continue.
- Once logged in, you will also be able to view your home directory files and folders in the "Sftp" tab on the left toolbar in MobaXterm
- Use the PuTTY ssh client to connect
- Download the PuTTY ssh client (putty.exe)
- Double click the downloaded file
- Enter the following connection information and press "Open"
- Host Name (or IP address): erisxdl6.research.partners.org
- Port: 22
- Protocol: SSH
- Enter your Mass General Brigham user ID and password when prompted
Connect from Mac or Linux
- Open the "Terminal" application
- Using your Mass General Brigham user ID, type this line followed by your password:
ssh <username>@erisxdl6.research.partners.org
Select and Prepare the Application Container
The Nvidia catalog of images at https://catalog.ngc.nvidia.com/ provides access to a wide range of containerized deep learning applications which are optimal for running on ERISXdl. At this time of writing (2026/08), the version of the cuda driver on the compute nodes is 550.90.07 hence, for compatibility, please ensure your image supports Cuda Toolkit Container version 12.4.
You may additionally pull containers from an outside registry for use in Slurm jobs. In this case it is recommended to first use the Basic partition in order to test that the container's runtime CUDA libraries are fully utilizing the GPUs. If unsure please contact @email and staff will run the utility
nvidia-smi directly on a compute to confirm the extent of gpu engagement.For more information about using containers on ERISXdl, please use apptainer as described here.
If you have any questions, please contact us at @email.