Stern School of Business, New York University

Hardware, Software and Infrastructure

Last Updated: February 2020

Common application software installed on all general purpose servers

The Gnu compilers (C, C++, F77), Java, matlab, perl, python, sas, Stata and R.

 General Purpose Servers available for login

vleda – Vleda is a virtual machine with 8 processors and 24gb of ram. It is the primary login node for Stern faculty and Phds.

rnd – 4  processors and 16GB of memory running 32 bit CentOS 7.7

  • It is a login node.
  • Application software includes  Stata, R, Pyhton.Sas, matlab
  • Jobs can be submitted to the GRID using the Grid Engine.

guistatistics – This machine is for users running large, interactive jobs which are not sutiable for grid processing.

bigdata – A virtual machine with 4 processors and 8 GB of memory running 64 bit CentOS 7.7

  • It is a login node.
  • Jobs can be submitted to the GRID using the Grid Engine
  • It is the “head” node for the Stern Hadoop cluster.
  • It is primarily used by “big data” users.

tiffany – a large physical machine devoted to GPU processing and very heavy computation. It has 392GB  of ram ,48 processing cores and 8 nvidia 2780 ti gpus. The marketing department has priority on the machine.

Cloud Servers-

curie, and turing – 3 Dell R610s, each with 12 processors and 98GB of memory running VWware 64 bit ESXi 5.5.
kepler – A Dell R620 with 12 processors and 115GB of memory running VWware 64 bit ESXi 5.5.
hubble – A Dell R910 with 20 processors and 256GB of memory running VWware 64 bit ESXi 5.5.

hawking – a powerful cloud server with a

Other Hardware

switches – multiple 10gb netgear switches  for both hogh speed communication within the center, and acces to the rest of NYU and the internet.

Storage -Several NAS and SAN storage devices totally over 150TB of storage provide atorage for both data and Virtual machines.

Backup devices – Two tape drives provide backup facilities, as well as disk based backup for virtual machines