HSE University to Launch New AI Supercomputer
HSE University is preparing to launch its second supercomputer. The new cluster will be primarily dedicated to artificial intelligence (AI) workloads and will complement the existing cHARISMa supercomputer. It is scheduled to become operational by the end of 2026.
Since 2019, HSE University has operated the cHARISMa supercomputer. With the addition of the new system, the university will become one of the few higher education institutions in Russia to operate two supercomputers.
In December 2025, the cHARISMa supercomputing cluster underwent a scheduled upgrade. Improvements to its architecture and graphics subsystem increased its peak performance from 2.2 to 3.5 petaflops. Today, cHARISMa ranks 10th in the latest Top 50 Supercomputers of Russia list.
‘Demand for high-performance computing is growing faster than infrastructure upgrades, meaning that our current computing capacity is no longer sufficient. The launch of a second supercomputer will address several key challenges simultaneously. First, it will reduce the shortage of computing resources. Training today's state-of-the-art artificial intelligence models requires enormous computational power: a single large model can consume thousands of GPU hours. A second cluster will enable us to run more projects in parallel without queues or delays, accelerating research many times over. Second, it will give researchers and students access to infrastructure comparable with the most advanced industry standards. This means not only studying AI theory but also working with real-world models and large-scale datasets,’ said Andrey Sokolov, Senior Director at HSE University.
The new computing cluster will deliver peak performance of more than 360 AI petaflops FP4 (360 quadrillion operations per second). It is scheduled to be launched by the end of 2026.
Its primary purpose will be to train large language models (LLMs) and support AI technologies.
According to Alexey Naumov, Director of the AI and Digital Science Institute at the HSE Faculty of Computer Science, the development of artificial intelligence represents a unique moment in human history, with transformative changes affecting every aspect of life at an unprecedented pace.
‘HSE University is one of the country's leading centres for developing new architectures and training methods for large foundation AI models, improving their performance and expanding their practical applications,’ said Alexey Naumov. ‘One of our key objectives is to contribute to the development of strong artificial intelligence capable of solving the most complex problems and creating value for society and business. The new supercomputer is an essential resource that will significantly expand our research and development capabilities in this field.’
HSE University works closely with leading technology companies and research organisations, bringing together top scientists and industry experts to achieve these goals and make a substantial contribution to the future of AI technologies. The university's partner in this project is Rostelecom, whose data centre will host the new supercomputer.
First Vice Rector of HSE University
‘As AI technologies become widely integrated into every sphere of life, including research and development and their use in education, the availability of a second supercomputer is becoming critically important for us. HSE University is a national leader in AI research and in training specialists with AI competencies. It is important not only to maintain this position but also to continuously expand the scale and effectiveness of our work in artificial intelligence.’
See also:
How to Assess Students’ Knowledge in the Age of AI
A researcher at HSE University has proposed a flowchart to help lecturers decide how to assess students who use artificial intelligence. It shows where the use of AI should be restricted and where it can be incorporated into the learning process. The article has been published in IT Professional.
HSE University Expands Cooperation with Malaysia in Technology Foresight
HSE University researchers will take part in a study of the future of engineering education in Malaysia, while the Malaysian Industry-Government Group for High Technology (MIGHT) will use the iFORA big-data analysis system to validate the findings of its foresight research. These are the outcomes of a visit by HSE representatives to Kuala Lumpur.
Scientists Train Neural Network to Generate Process Plans from 3D Models
Researchers at the HSE FCS AI and Digital Science Institute have developed CAD2TechSpec, a framework that converts 3D models of mechanical parts into machining process plans—step-by-step instructions for machine tools. The solution aims to reduce the time required for the design and preparation of technical process documentation in mechanical engineering, aircraft manufacturing, and other high-tech industries. The study findings have been published in PeerJ Computer Science.
Biologists Discover 'Molecular Fingerprint' of Preeclampsia
Researchers at HSE University employed a new method to model hypoxia in placental cells during pregnancies complicated by preeclampsia and identified molecular markers of tissue hypoxia. Since hypoxia is one of the key mechanisms underlying preeclampsia, these findings are important for a more accurate and timely diagnosis of the disease and for the development of effective treatment methods. The paper has been published in Placenta.
Laboratory of Future Networks: HSE Telecommunications Research Institute Develops 5G/6G Research Testbed
The 5G/6G testbed at the HSE Telecommunications Research Institute is becoming a research platform, an educational laboratory, and a foundation for developing new software components for future networks. It makes it possible not only to observe how a mobile network operates, but also to change its operating conditions and measure the results: data-transmission speed, latency, errors, radio-resource utilisation, and other parameters. Based on the testbed, researchers plan to develop MIMO, O-RAN, xApp, and IAB technologies, as well as experiment with artificial intelligence.
‘Hedgehog’ Versus ‘Relatives’: Researchers Measure How the Brain Responds to Unexpected Words During Natural Speech
Russian neurophysiologists, including researchers from HSE University, have demonstrated the feasibility of using event-related fields (ERFs) to study brain activity during natural speech perception. The researchers showed that this approach can be applied not only to individual words but also to continuous speech. Their findings indicate that words whose meanings differ significantly from the preceding context require longer processing times. The study also reveals that the brain processes function words in two stages: first, it identifies their grammatical role and then uses this information to predict the next word. The study has been published in Frontiers in Human Neuroscience.
Hybrid Intelligence: Competencies in the Age of AI Discussed at Technoprom-2026
Artificial intelligence is not creating new professions, but rather transforming the nature of existing ones. This was the conclusion reached by participants in the panel session ‘Hybrid Intelligence: Digital and Human Drivers of Development,’ organised by the Institute for Statistical Studies and Economics of Knowledge (ISSEK) at HSE University as part of the 13th International Forum of Technological Development (Technoprom-2026). The experts discussed how the nature of work is changing, which skills are becoming increasingly sought after, and what prevents companies from fully capitalising on new technologies.
Scientists Develop New Solution for 6G Communication Systems
A terahertz neuromorphic circuit developed by scientists at HSE University could make 6G communication systems both more accurate and energy-efficient. The circuit enables indoor tracking of mobile devices with an accuracy of up to 99%. The results were presented at PIERS 2026, an international symposium on Photonics and Electromagnetism held in China.
Scientists Develop Algorithm for More Reliable Processors in Data Centres
Researchers from HSE MIEM and Samara University have developed the LRF-3D algorithm to automatically bypass idle nodes in three-dimensional networks-on-chip. Thanks to its hierarchical architecture, the algorithm outperforms existing solutions in both speed and path accuracy, improving processor reliability for use in data centres, supercomputers, and AI computing. The source code and test results are publicly available.
Researchers Rank Recommendation Algorithms Using Sports Tournament Model
Researchers from the AI and Digital Science Institute at the HSE Faculty of Computer Science have developed an approach for selecting recommendation algorithms more effectively. Their approach uses pairwise comparisons of algorithms to create a tournament table, with the overall ranking based on their performance across all datasets in the tournament. This can reduce the number of algorithms that need to be tested when developing new services, saving both time and money. The study was presented at the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2026).