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Project

R-Style Softlab delivered an IT cluster to work with AI for the Moscow Agricultural Academy named after K.A. Timiryazev

Customers: RGAU-MSHA named after K.A. Timiryazev, Russian State Agrarian University - MSHA named after K.A. Timiryazev

Moscow; Education and science

Contractors: R-Style Softlab
Product: Integrated IT Infrastructure Projects
Third product: Big Data Projects

Project date: 2025/01  - 2025/07

2025: IT Equipment Delivery

R-Style Softlab delivered IT equipment for the Russian State Agrarian University - MSHA named after K.A. Timiryazev. For the needs of a higher educational institution, an IT cluster was formed and delivered, which allows you to deploy work with neural networks and big data analysis. High-performance servers of Russian production, DSS from the register of the Ministry of Industry and Trade and infrastructure components have created a full-fledged base for working with artificial intelligence of the Academy. R-Style Softlab announced this on August 26, 2025.

The performance of the IT cluster allows you to analyze satellite and drone images for monitoring farmland, predict yields and model climate risks; process genetic and biotechnological data in crop production, implement digital services and prepare students to work with AI tools.

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The created infrastructure will allow the use of artificial intelligence technologies in agricultural science, analyze large amounts of data to create practical digital solutions and train specialists who can work with modern tools,
said Anastasia Grecheneva, director of the project institute for digital transformation of the agro-industrial complex RGAU-MSHA named after K.A. Timiryazev.
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Шаблон:Quote 'author=noted the head of R-Style Softlab Technical Presale Department Ilya Bulaev.

The created cluster becomes the IT infrastructure that is necessary for the implementation of training programs for top specialists in the field of artificial intelligence at the RGAU-MSHA. On the basis of the cluster, an internal circuit of AI development of the Academy is being formed at the junction of agricultural and digital competencies, including the work of the project institute for digital transformation of the agro-industrial complex and the Digital Crop Production IoT landfill