Systems 1: Difference between revisions
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Other NU research computing clusters | 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;" | 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;" | Short description | ||
Revision as of 09:13, 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
Headline #2
| 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]] |