Compute time on the cluster
Price on requestAccess to the lab’s computing capacity for the client’s computational tasks.
Al-Farabi KazNU · physics and engineering
Opened in 2024. Analysis of large observational datasets plus in-house compute — the rare case where the university has a cluster, not just a method.
This catalogue is informational: it was compiled by the hub from open sources and is not an offer. The hub does not act as a representative of the university and does not dispose of its equipment. Scope, timelines and prices are confirmed by the laboratory for every request.

The lab works with large observational datasets in astrophysics: cleaning, statistics, machine learning. Public sources report a computing cluster and a data processing center. For an external client this means two products: compute time and methodological help with large-scale data analysis. Access terms and cluster load are to be confirmed.
This list was compiled by the hub from open data and is subject to confirmation by the laboratory.
Access to the lab’s computing capacity for the client’s computational tasks.
Cleaning, joining and statistical analysis of the client’s large datasets.
Review of the problem statement, method selection and assessment of result reliability.
| Instrument | Model | Used for | Category |
|---|---|---|---|
| Computing cluster | — | Computational tasks, large dataset processing, model training. | Compute & GPU |
A curator will reply during working hours, confirm the method and name the deadline and the price. No obligations until then.