Systems 1: Difference between revisions

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       precision)
       precision)
     * SLURM job scheduler
     * SLURM job scheduler
  Schematic view of Shabyt
 
  Scheme
   The system is assembled in a two-rack configuration and is physically located at NU Data Center
   The system is assembled in a two-rack configuration and is physically
  located at NU Data Center
  Racks
Other NU research computing clusters
Other NU research computing clusters
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Revision as of 23:10, 30 August 2023

Key features at a glance:

    * 20 Compute nodes with dual AMD EPYC 7502 CPUs (32 cores / 64
      threads, 2.5 MHz Base), 256 GB 8-channel DDR4-2933 RAM, CentOS 7.9
    * 4 Compute nodes with dual AMD EPYC 7452 CPUs (32 cores / 64
      threads, 2.3 MHz Base), 256 GB 8-channel DDR4-2933 RAM, dual NVidia
      Tesla V100 GPUs 32GB HBM2 RAM, CentOS 7.9
    * 1 interactive login node with AMD EPYC 7502P CPU (32 cores / 64
      threads, 2.5 MHz Base), 256 GB 8-channel DDR4-2933 RAM, Red Hat
      Enterprise Linux 7.9
    * EDR Infiniband 100 Gb/s interconnect for compute traffic
    * 16TB internal NVMe SSD Storage (HPE Clustered Extents File System)
    * 144TB HPE MSA 2050 SAS HDD Array
    * Theoretical peak CPU performance of the system is 60 TFlops (double
      precision)
    * Theoretical peak GPU performance of the system is 65 TFlops (double
      precision)
    * SLURM job scheduler
 
  The system is assembled in a two-rack configuration and is physically located at NU Data Center

Other NU research computing clusters

Cluster name Short description Contact details
High-performance bioinformatics cluster "Q-Symphony" Hewlett-Packard Enterprise – Apollo
(208 Cores x Intel Xeon, 3.26 TB RAM, 258 TB RAID HDD, RedHat Linux)
Max computing performance: 7.5 TFlops
Optimized for bioinformatics research and big genomics datasets analysis
Ulykbek Kairov
Head of Laboratory - Leading Researcher, Laboratory of bioinformatics and systems biology, Private Institution National Laboratory Astana
Email: [[1]]
Intelligence-Cognition-Robotics GPUs: 8X NVIDIA Tesla V100
Performance: 1 petaFLOPS
GPU Memory: 256 GB total
CPU: Dual 20-Core Intel Xeon, E5-2698 v4 2.2 GHz
...
Zhandos Yessenbayev
Senior Researcher, Laboratory of Computational Materials Science for Energy Application, Private Institution National Laboratory Astana
Email: [[2]]
Computational resources for AI infrastructure at NU NVIDIA DGX-1 (1 supercomputer):
GPUs: 8 x NVIDIA Tesla V100
GPU Memory: 256 GB
CPU: ...
Yerbol Absalyamov
Technical Project Coordinator, Office of the Provost - Institute of Smart Systems and Artificial Intelligence, Nazarbayev University
Email: [[3]]
Makat Tlebaliyev
Computer Engineer, Office of the Provost - Institute of Smart Systems and Artificial Intelligence, Nazarbayev University
Email: [[4]]