<aside> ⭐ Home | Getting Started with CCR | Learning Resources | Software | Productivity | Hardware | Best Practices

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<aside> ⚠️ UB VPN is needed for accessing the workstation and CCR off campus.

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GPU Workstation (qilin)

• CPU: AMD ThreadRipper Pro

• GPU: 2 x NVIDIA RTX 4090 24 GB

• Storage: 2 TB

• OS: Linux Ubuntu

• Some useful instructions:

  Login and Basics

  Anaconda and VS Code

  Remote Access to Graphical User Interface

  Software on GPU Workstation

  Data Backup and Storage

UB CCR Computational Nodes

In addition to general computing resources available in CCR at UB, our group also purchased private compute nodes. Currently, we have:

• 1x GPU node with 2x NVIDIA A100 80 GB and 2x Intel Xeon Gold 6448Y 32 core
• 1x GPU node with 2x NVIDIA L40S 48 GB and 2x Intel Xeon Platinum 8562Y 32 core
• 4x CPU nodes, each with 2x Intel Xeon Gold 6448Y 32 core (total 256 cores available)
• More coming soon…

NSF ACCESS

ACCESS is a program established and funded by the National Science Foundation to help researchers and educators, with or without supporting grants, to utilize the nation’s advanced computing systems and services – at no cost.

Get Started on NCSA!

Empire AI

Coming soon!