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SCU HPC Account

SCU HPC Account

Owned by Maurice Spiewack (Unlicensed)
Last updated: Jun 09, 2025 by Meghan Netterville

The SCU account allows you to access the resources and services provided by the SCU.

Request a new SCU account

SCU account request

SCU account request

Use this form to request access to the computational resources provided by the SCU. We require your institutional or departmental affiliation as well as the name of your administrator, or PI, to fulfill the request.

Please include your PI in the email, as we would need their approval. 

An SCU account is a user account provided by the Scientific Computing Unit (SCU) at Weill Cornell Medicine. It grants researchers access to a wide range of SCU-managed resources, including:

  • High-performance computing (HPC) clusters, such as BRB, AI and Cayuga

  • High-speed, on-premises storage with project-specific directories

  • SSH access to login nodes (e.g., scu-login01/02.med.cornell.edu) and remote systems

  • Pre-configured software environments for data analysis, AI/ML, bioinformatics, and other research domains

  • Job scheduling and resource management via SLURM, including access to CPU/GPU queues

SCU’s HPC Clusters

New Lab accounts will created on either the BRB or Cayuga cluster depending on space available and data classification type. In addition, a ilab account will need to be created with a fund number associated. (See Scientific Computing Rates for more information.)

  1. BRB Cluster –  Uses central authentication

    1. ~8.3PB of HPC Storage

    2. Lustre Filesystem

    3. Rocky Linux OS

  2. Cayuga (CAC/Ithaca) - Requires a separate access form (emailed separately); WCM email required

    1. ~5.2 PB of HPC Storage

    2. Lustre Filesystem

    3. Rocky Linux OS

  3. AI - Developed in partnership with Radiology; purpose-built for AI-driven image training Requires Approval.

    1. ~2PB of HPC Storage

    2. ~2.4PB of Hybrid Storage

    3. Ubuntu Based OS

    4. Lustre Filesystem

  4. Seneca Cluster(WCM/CAC/QATAR) - TBA

  5. QNL cluster - Quantitive Neuroimaging Lab - HPC Cluster for Radiological neuroimaging processing

    1. Radiology Cluster Only

    2. RHEL Based OS

    3. GPFS Filesystem

All clusters require VPN access for remote login. Please ensure you’re connected to the VPN before attempting to log in.

 

 

Contact Us: scu@med.cornell.edu