DSI provides the following computing resources to members of the Institute.

To learn more about becoming a member, click here.


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 intended for machine learning and similar applications, and includes 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 based on your needs. Email datascience-it@columbia.edu and you will be provided with a local Unix account based on your UNI. 

Habañero HPC

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 cluster documentation may be found HERE. Email hpc-support@columbia.edu with a copy to datascience-it@columbia.edu for approval.

Questions and Support

Requests should be forwarded to datascience-it@columbia.edu with a brief subject line containing the nature of the request.

CUIT Resources

Software available to the Columbia University community, for free or at Columbia’s negotiated rate may be found HERE.