The Świerk Computing Centre (Centrum Informatyczne Świerk, CIŚ), nestled within the Department of Complex Systems, represents the cutting-edge of computational science in Poland. As the country's most recent supercomputing facility, CIŚ has harnessed expertise from the very inception of grid computing. The brand, a result of an EU-funded project, has become synonymous with a surge of computational prowess designed to boost scientific research, government administration, and the nuclear sector's development within Poland.

Equipped with state-of-the-art tools and techniques such as supercomputers, cluster computing, cloud computing, numerical analysis, and high-performance computing (HPC), CIŚ's capabilities are expansive. These resources are the powerhouse behind the Centre's exploration into the most pertinent research areas today - artificial intelligence (AI), cybersecurity, industrial networks, machine learning, and Big Data. Furthermore, CIŚ leverages its remarkable computational capacity of 1.4 PFLOPS, 36,000 cores, and 200 TB RAM, to facilitate a comprehensive suite of analyses including thermal-flow, aerodynamic, and parametric assessments, as well as numerical designs.

At the core of CIŚ's mission is the ambition to deliver premium quality, modern IT services, with the goal of creating a robust and skilled infrastructure capable of managing intricate data processing needs across Poland's nuclear and conventional energy sectors. Beyond these realms, the Centre's proficiency extends to include simulations of fuel processes, radiological threat simulations, scientific and technological research, as well as managing databases that contribute to the advancement and security control of strategic state interests. In its commitment to continuous advancement, the Centre anticipates an increase in computational power to 1.6 PFLOPS by 2023, coupled with the unveiling of a new server room.

CIŚ's service portfolio is extensive. It offers technical analyses for the conventional energy and safety and operational analyses for the nuclear energy sectors. The Centre is adept at processing and analyzing large data sets, as well as monitoring radiological and chemical threats. Industrial installations benefit from the Centre's reliability analyses, while the medical field profits from CIŚ's contributions to medical equipment design. The Centre's forte also includes creating AI-powered solutions for image analysis, specifically those involving IR, multispectral images, and LIDAR data. Moreover, it prepares image data for training, testing, and validating computer vision algorithms, machine learning, and artificial intelligence. The Centre's AI and machine learning tools, like Sentinel, are pivotal in providing an extra layer of cybersecurity, particularly for critical infrastructures.