Regional: Data Science services for working with data

The main articles are:

• Big Data
• Data mining Data mining
• Data Science

2025: Data Science data services launch

The regional region has strengthened expertise in the field of artificial intelligence and machine learning. The company is expanding the product ecosystem with a line of services for data Scientists, ML engineers and data analysts. In the cloud platform, you can collaborate with large amounts of data, including for BI, educational and research projects. The company announced this on November 20, 2025.

The regional region has already connected the JupyterHub tool to its own cloud platform. This solution will simplify the interaction of data specialists, allowing you to deploy isolated workspaces with access through the web interface. The service provides centralized management to computing resources, differentiating user rights and simplifying collaboration.

The solution scales to commands of any size and provides isolated environments for each user, improving security and stability. The service freely integrates with Git, CI/CD, S3 storage and databases, does not require self-configuration of servers and makes working with data faster and more efficient.

Data Science services open up additional opportunities for users of the Regional Cloud for command analytics and ML model development. These are convenient and scalable tools that speed up data and reduce operational costs. We have prepared ready-made solutions, such as JupyterHub, that do not require self-installation and configuration of the infrastructure so that specialists can focus on code and AI models, and not on infrastructure administration, "said Evgeny Martynov, Director of Information Technology of the Regional Cloud.

The regional region began to expand its expertise in the region big data in 2024 by launching the S3 object storage based on Ceph. In September 2025, the company connected AI assistant to work with corporate services. The technological capacities cloudy provider are prepared for high loads and are equipped with high-performance GPUs servers based on processors AMD EPYC with fast NVMe drives. SSD