Computing Resources

The Data Science Institute provides the following computing resources to members of the Institute, as defined by the Institute by-laws.


A high-end server is available for administrative, research and teaching purposes. The top level specs are:

  • 2x Intel Xeon E5-2620 CPUs @ 2.10GHz (8 cores/16 threads each)
  • 4x Nvidia GTX 1080 Ti GPUs @ 1582MHz (3584 CUDA cores each)
  • 128GB ECC RAM memory
  • 400GB SSD (RAID 1) system drives
  • 30TB HDD (RAID 5) mass storage - available upon request
  • Ubuntu 18.04 Linux operating system

This system is primarily intended for machine learning and similar applications, and as such, has the following software already installed:

  • Google TensorFlow
  • Nvidia CUDA drivers (v430.x), Toolkit (v10.x) and cuDNN (v6.x/7.x)
  • C (v7.4x), Python (v2.x/3.x) and R (v3.x) programming languages

It also has a highly-performant web stack installed for hosting static or dynamic websites, consisting of the following components:

  • Nginx (SSL termination)
  • Varnish (cache)
  • Apache (web server)
  • PHP (application layer)
  • Redis (key store)
  • MySQL (database)

Other software or packages may be installed for specific use cases based on your needs and we will do our best to accommodate them.


Email and you will be provided with a local Unix account based on your UNI.


On the Habañero High-Performance Cluster (HPC) maintained by Columbia University, the Institute has dedicated resources including:

  • 2x high memory nodes (512 GB each)
  • 6x GPU nodes (2x Nvidia K80/4x P100 GPUs each)
  • 30TB scratch space

Habañero documentation can be found HERE.


Email with a copy to Michael Holve,, for approval.


Questions and support requests should be emailed to with a brief subject line containing the nature of the request.

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