Kazakhstan National Research & Data Platform

KazNRDP

One path from a scientific question to data, compute, and a result. Farabi Supercomputer Center is the first core.

DATA · HPC · AI · RESEARCH SERVICES

From a question to a result

KazNRDP shortens that path. The researcher does not hunt for files, then beg for machines, then move terabytes by hand.

  1. 01

    Question

    Climate, genomics, geology, materials, or a model to train. The work starts here.

  2. 02

    Data

    One catalog says what exists, who owns it, and how to use it. The files can stay where they are.

  3. 03

    Compute

    CPU, GPU, a notebook, or a container runs beside that data. Move the job, or move the data — whichever is smaller.

  4. 04

    Result

    A forecast, a map, a trained model, or a figure. Not another copy of the raw archive.

A core, not a warehouse

Machines and data can stay at other universities and institutes. KazNRDP joins them with shared access, catalogs, and identity.

Farabi
AI
Jupyter
Python
S3
GPU
Drive
Containers
Linux
Peak Performance
~2 PFLOPS
CPU Compute Nodes
400+ Nodes
NVIDIA A10 Accelerators
30 GPU Nodes
SSD next to the machines
384 TB
Archive, after the job
6 PB

The SSD holds the job. The archive holds what the job already produced.

Active work stays on 384 TB of fast disk beside the machines. Finished collections move to the 6 PB archive.

384 TB

SSD next to the machines

  • Jobs that are running
  • Datasets loaded for training
  • Virtual machines
  • Scratch files from the current run

6 PB

Archive, after the job

  • Satellite scenes
  • Climate series
  • Genomes
  • Finished project archives

How it grows

  1. Stage 1

    Core

    Portal, identity, catalog, and Farabi CPU and GPU.

  2. Stage 2

    Data

    Outside datasets and the first science gateways.

  3. Stage 3

    Compute

    Other organizations join the compute pool.

  4. Stage 4

    Nation

    Research, data, HPC, and AI as one system.

Request access

Start on Farabi compute and storage.