Systems

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Nazarbayev University High Performance Computing team currently operates three main facilities - Irgetas, Shabyt, and Muon. Below we provide a brief overview of them.

Irgetas cluster (expected deployment - July/August 2025)

Irgetas cluster is NU's most advanced computational facility on campus. It is manufactured by Hewlett Packard Enterprise (HPE) and has the following basic configuration:

  • 6 GPU compute nodes. Each GPU node features
    Two AMD EPYC 9654 CPUs (96 cores / 192 threads, 2.4 GHz Base)
    Four Nvidia H100 SMX5 GPUs (80 GB HBM3)
    768 GB DDR5-4800 RAM (12-channel)
    1.92 GB local SSD scratch storage
    Two aggregated Infiniband NDR 400 Gbps adapters (800 Gbps total)
    Rocky Linux 9
  • 10 compute nodes. Each CPU node features
    Two AMD EPYC 9684X CPUs (3D V-Cache, 96 cores / 192 threads, 2.55 GHz Base)
    384 GB DDR5-4800 RAM (12-channel)
    1.92 GB local SSD scratch storage
    Infiniband NDR 200 Gbps adapter
    Rocky Linux 9
  • Interactive login node
    AMD EPYC 9684X (3D V-Cache, 96 cores / 192 threads, 2.55 GHz Base)
    192 GB 12-channel DDR5-4800 RAM
    7.68 GB local SSD scratch storage
    Infiniband NDR 200 Gbps adapter
    Rocky Linux 9
  • 122 TB (raw) NVMe SSD storage server for software and user home directories
    Two AMD EPYC 9354 CPUs (32 cores / 64 threads, 3.25 GHz Base)
    768 GB DDR5-4800 RAM (12-channel)
    Two aggregated Infiniband NDR 400 Gbps adapters (800 Gbps total)
    80 GBps sustained sequential read speed
    20 GBps sustained sequential write speed
  • Nvidia Infiniband NDR Quantum-2 QM9700 switch (computing network)
    64 ports (400 Gbps per port)
  • HPE Aruba Networking CX 8325‑48Y8C 25G SFP/SFP+/SFP28 Switch (application network)
    48 ports (SFP28, 25 Gbps per port)
  • Direct liquid cooling system
    Blue Box ZETA

The system is physically located in the data center in Block 1.

Shabyt cluster

Shabyt cluster was manufactured by Hewlett Packard Enterprise (HPE) and deployed in 2020. It serves as the primary platform for performing computational tasks by NU and NLA researchers. It has the following hardware configuration:

  • 20 CPU compute nodes. Each CPU node features
    Two AMD EPYC 7502 CPUs (32 cores / 64 threads, 2.5 GHz Base)
    256 GB DDR4-2933 RAM (8-channel)
    Infiniband EDR 100 Gbps adapter
    Rocky Linux 8.10
  • 4 GPU compute nodes. Each GPU node features
    Two AMD EPYC 7452 CPUs (32 cores / 64 threads, 2.3 GHz Base)
    Two Nvidia V100 GPUs (32 GB HBM2)
    256 GB DDR4-2933 RAM (8-channel)
    Infiniband EDR 100 Gbps adapter
    Rocky Linux 8.10
  • Interactive login node
    AMD EPYC 7502P CPU (32 cores / 64 threads, 2.5 GHz Base)
    256 GB DDR4-2933 RAM (8-channel)
    Infiniband EDR 100 Gbps adapter
    Rocky Linux 8.10
  • 16 TB (raw) internal NVMe SSD storage for software and user home directories (/shared)
  • 144 TB (raw) HPE MSA 2050 SAS HDD Array for backups and large data storage for user groups (/zdisk)
  • Mellanox Infiniband EDR v2 Managed switch (compute network)
    36 ports (100 Gbps per port)
  • Theoretical peak performance of the CPU subsystem is about 61 TFLOPS (double precision)
  • Theoretical peak performance of the GPU subsystem is about 56 TFLOPS (double precision) or 896 TFLOPS (half precision)

The system is assembled in two racks and is physically located at NU data center in Block C2

       

Muon cluster

Muon is an older cluster used by the faculty of Physics Department. It was manufactured by HPE and first deployed in 2017. It has the following hardware configuration:

  • 10 CPU compute nodes. Each CPU node features
    Intel Xeon CPU E5-2690v4 (14 cores / 28 threads, 2600 MHz Base)
    64 GB DDR4-2400 RAM (4-channel)
    1 Gbps Ethernet network adapter
    Rocky Linux 8.10
  • Interactive login node
    Intel Xeon CPU E5-2640v4 (10 cores / 20 threads, 2400 MHz Base)
    64 GB DDR4-2400 RAM (4-channel)
    10 Gbps Ethernet network adapter (WAN traffic)
    10 Gbps Ethernet network adapter (compute traffic)
    Rocky Linux 8.10
  • 2.84 TB (raw) SSD storage for software and user home directories (/shared)
  • 7.2 TB (raw) HDD RAID 5 storage for backups and large data storage for user group (/zdisk)
  • HPE 5800 Ethernet switch (compute network)

The system is physically located in the data center in Block 1.

Other facilities on campus

There are several other computational facilities available at NU that are not managed by NU HPC team. Below we provide brief information about them. All inquiries about their use for your research projects should be addressed to person responsible for it.

Cluster name Short description Contact details
High-performance bioinformatics cluster "Q-Symphony"

HPE Apollo R2600 Gen10 cluster
Compute nodes: 8 nodes x dual Intel Xeon Gold 6226R (16 cores / 32 threads, 3.3 GHz Base), 512 GB DDR4-2933 RAM per node
Storage: 1.3 PB (raw) HDD storage HPE D6020
Interconnect: Infiniband FDR
OS: RedHat Linux
This cluster is 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
Computational resources for AI infrastructure at NU

NVIDIA DGX-1 (1 unit)
CPU: dual Intel Xeon ES-2698v4 (20 cores / 40 threads, 2.2GHz Base), 512 GB DDR4 RAM
GPUs: 8 x NVIDIA Tesla V100
GPU Memory: 8 x 32 GB HBM2
Storage 4 x 1.92 TB SSD in RAID0
OS: Ubuntu Linux

NVIDIA DGX-2 (2 units)
CPU: dual Intel Xeon Platinum 8168 (24 cores / 48 threads, 2.7 GHz Base), 512 GB DDR4-2133 RAM
GPUs: 16 x NVIDIA Tesla V100
GPU Memory: 16 x 32 GB HBM2
Storage: 30.72 TB NVMe SSD
OS: Ubuntu Linux

DGX A100 (4 units)
CPU: dual AMD EPYC Rome 7742 (64 cores / 128 threads, 2.25 GHz Base), 512 GB DDR4 RAM
GPUs: 8 x NVIDIA A100
GPU: Memory 8 x 40 GB HBM2
Storage: 15 TB NVMe SSD
OS: Ubuntu Linux

Yerbol Absalyamov
Technical Project Coordinator, Institute of Smart Systems and Artificial Intelligence, Nazarbayev University
Email: yerbol.absalyamov@nu.edu.kz
Makat Tlebaliyev
Computer Engineer, Institute of Smart Systems and Artificial Intelligence, Nazarbayev University
Email: makat.tlebaliyev@nu.edu.kz