Systems 1: Difference between revisions
Jump to navigation
Jump to search
No edit summary |
No edit summary |
||
Line 16: | Line 16: | ||
precision) | precision) | ||
* SLURM job scheduler | * SLURM job scheduler | ||
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 | |||
Other NU research computing clusters | Other NU research computing clusters | ||
{| style="border-collapse: collapse; width: 100%;" | {| style="border-collapse: collapse; width: 100%;" |
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]] |