Accessing and Using Remote Systems in SJMC

This documents describes the method to connect to the remote workstations and servers.

SJMC-GPU00

SJMC-GPU00 is a remote system with the following specifications

Hostname: sjmc-gpu00.journalism.wisc.edu
Operating system: Ubuntu 22.04.5: Includes Lambda Stack for managing TensorFlow, PyTorch, CUDA, cuDNN, etc.
Processor: Intel(R) Core(TM) i9-9940X CPU: 28 cores @ 4.40GHz
GPUs: 2x NVIDIA RTX 2080 Ti: 12GB memory
System memory: 128 GB
OS drive: 2 TB NVMe SSD
Data drive: 4 TB SSD (SATA) 

SJMC-GPU01

SJMC-GPU01 is a remote system with the following specifications

Hostname: sjmc-gpu01.journalism.wisc.edu
Operating system:
 Ubuntu 22.04: Includes Lambda Stack for managing TensorFlow, PyTorch, CUDA, cuDNN, etc.
Processor: AMD Ryzen Threadripper PRO 5995WX: 64 cores, 2.7~4.5GHz, 256 MB cache, PCIe 4.0
GPUs: 2x NVIDIA RTX 6000 Ada Generation (EDU/Inception): 48GB memory, 18176 CUDA cores, 568 Tensor cores
System memory: 512 GB: DDR4-3200 ECC RDIMM
OS drive: 1x 3.84 TB M.2 NVMe
Data drive: 2x 15.36 TB U.2 NVMe: Data center SSD, 1 DWPD, PCIe 4.0

sjmc-5011vilas-02 (SJMC-48RJ3J4)

sjmc-5011vilas-02 is a workstation located in 5011 Vilas Hall with the following specifications

Hostname: sjmc-5011vilas-02.sjmc.wisc.edu
Operating system: Ubuntu 26.04
Processor: Intel® Core™ Ultra 9 285: 24 cores
GPUs: NVIDIA RTX PRO 5000 Blackwell Workstation Edition (300W) 48GB GDDR7, 4 DP
System memory: 128 GB
OS drive: 1 TB
Data drive: 4 TB

sjmc-5011vilas-03 (SJMC-58RJ3J4)

sjmc-5011vilas-03 is a workstation located in 5011 Vilas with the following specifications

Hostname: sjmc-5011vilas-03.sjmc.wisc.edu
Operating system: Ubuntu 26.04
Processor: Intel® Core™ Ultra 9 285: 24 cores
GPUs: NVIDIA RTX PRO 5000 Blackwell Workstation Edition (300W) 48GB GDDR7, 4 DP
System memory: 128 GB
OS drive: 1 TB
Data drive: 4 TB

Requesting Access

Contact Sijia Yang to request access.

Connection Information

SSH

  • Use an SSH client.
    • macOS users can use the built in Terminal application.
    • Windows users can use Putty or another SSH client.
    • Linux users can use their terminal application of choice.
  • Log in with your NetID:
    • UW_NetID@HOSTNAME (Host names are listed above with system information)

Graphical Remote Desktop

Use a remote desktop client.

Download the RDP files for the systems you wish to connect to below, and import in to your remote desktop application.

SJMC-GPU00 SJMC-GPU01 sjmc-5011vilas-02 sjmc-5011vilas-03

Because of an issue with the macOS Windows App manually created connections will not be able to successfully connect.

When connecting to SJMC-GPU00 or SJMC-GPU01 use your NetID and password for the connection credentials. There are specific credentials for sjmc-5011vilas-02 and sjmc-5011vilas-03. After connecting using those credentials you then log in with your NetID and password.

You should now be at the desktop of the system.

Sessions persist after quitting your Remote Desktop client. You can start work, quit your connection, then come back later.

Connecting to Research Drive

Research Drive shared will auto mount from a terminal when you are signed in.

  1. Open a terminal
  2. cd to /mnt/researchdrive/DRIVE_NAME (usually a NetID)

Maintenance Times

Maintenance will be performed on Tuesday mornings, and may require a reboot which will end active sessions. That reboot is usually scheduled for 12:00PM CST. Please plan your work accordingly and contact help@its.ls.wisc.edu if you anticipate a job running during this time.



Keywords:
remote sjmc gpu cccr mcrc 
Doc ID:
130537
Owned by:
Sterling A. in School of Journalism & Mass Communication
Created:
2023-08-23
Updated:
2026-05-08
Sites:
School of Journalism & Mass Communication