Systems

Nazarbayev University's Research Computing currently has two HPC facilities: Shabyt and Muon. The newer and more powerful Shabyt cluster serves as the primary platform for performing computational task by NU researchers. Muon is an older cluster primarily used by the faculty of Physics Department.

Shabyt cluster

• 20 Compute nodes with dual AMD EPYC 7502 CPUs (32 cores / 64 threads, 2500 MHz Base), 256 GB 8-channel DDR4-2933 RAM, Rocky Linux 8.7
• 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
• Mellanox Infiniband 100 Gb/s interconnect for compute traffic
• 16TB internal NVMe SSD Storage
• 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)

Muon cluster

• 11 Compute nodes with Intel(R) Xeon(R) CPU e5-2690v4 (14 cores / 28 threads, 2600 MHz Base), 64 GB 4-channel DDR4, Rocky Linux 8.9
• 1 interactive login node.
• HPE 5800 1Gb/s interconnect for compute traffic.
  

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: ulykbek.kairov@nu.edu.kz
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: zhyessenbayev@nu.edu.kz
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: yerbol.absalyamov@nu.edu.kz Makat Tlebaliyev Computer Engineer, Office of the Provost - Institute of Smart Systems and Artificial Intelligence, Nazarbayev University Email: makat.tlebaliyev@nu.edu.kz