Systems 1: Difference between revisions

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Other NU research computing clusters
Other NU research computing clusters


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Revision as of 09:12, 19 February 2024

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

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! style="background-color: #f2f2f2; text-align: left; padding: 8px; border: 1px solid #dddddd;" | Cluster name ! style="background-color: #f2f2f2; text-align: left; padding: 8px; border: 1px solid #dddddd;" | Short description ! style="background-color: #f2f2f2; text-align: left; padding: 8px; border: 1px solid #dddddd;" | 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]] |}


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