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]]
|}