SciTransfer
Organization

VSB - TECHNICAL UNIVERSITY OF OSTRAVA

Czech technical university specializing in high-performance computing, exascale systems, and their application to AI, manufacturing, and scientific simulation.

University research groupdigitalCZ
H2020 projects
34
As coordinator
4
Total EC funding
€10.3M
Unique partners
436
What they do

Their core work

VSB - Technical University of Ostrava is a Czech technical university with deep expertise in high-performance computing, exascale systems, and their industrial applications. They develop and optimize parallel computing software, runtime systems, and data analytics platforms that help both researchers and industry solve computationally intensive problems. Their work spans from fundamental HPC infrastructure (through continuous involvement in the PRACE pan-European supercomputing initiative) to applied domains like predictive manufacturing, drug discovery, and smart water management. They also run national HPC competence centre activities, bridging the gap between supercomputing capabilities and real-world users in industry and science.

Core expertise

What they specialise in

High-performance computing and exascale systemsprimary
14 projects

Continuous involvement in PRACE implementation phases (4IP, 5IP, 6IP), plus exascale-focused projects READEX, ANTAREX, ExaQUte, SCALABLE, ACROSS, and coordinated LEXIS.

Parallel programming and code optimizationprimary
6 projects

ANTAREX (self-adaptive systems, compilers), POP2 (performance tools and code optimization), READEX (runtime energy-efficient computing), and EVEREST (domain-specific languages for heterogeneous platforms).

AI and machine learning on HPC platformsemerging
5 projects

Recent projects ACROSS, LIGATE, EVEREST, and S4AllCities apply AI/ML on large-scale computing infrastructure, a clear shift from pure HPC toward AI-augmented computation.

Industrial applications of HPC (manufacturing, drug discovery)secondary
4 projects

CloudiFacturing (predictive digital manufacturing), LIGATE (drug discovery at exascale), PACMAN (prognostics and maintenance), and TETRAMAX (technology transfer to SMEs).

1 project

OPENQKD project on quantum key distribution testbed infrastructure, signaling expansion into quantum networking and security.

Geothermal energy and construction materialssecondary
2 projects

Coordinated GeoUS (geothermal energy in underground structures) and GeoDust (geopolymers from secondary raw materials), reflecting their mining and civil engineering heritage.

Evolution & trajectory

How they've shifted over time

Early focus
HPC infrastructure and runtime optimization
Recent focus
AI-driven exascale applications

In the early period (2015–2018), VSB focused on foundational HPC infrastructure: optimizing runtime systems, developing programming methodologies for heterogeneous architectures, and contributing to open access research infrastructure (OpenAIRE2020, PRACE-4IP, ANTAREX, READEX). From 2019 onward, the focus shifted decisively toward applied AI/ML on exascale platforms, quantum-safe communications, and using HPC to solve domain-specific problems in drug discovery, smart water management, and big data analytics. The university also moved from pure participation toward coordination, leading LEXIS — their largest project — which combined large-scale HPC execution with real industry and societal use cases.

VSB is evolving from an HPC infrastructure provider into a hub that applies supercomputing power to AI, quantum security, and industrial problem-solving — expect them to seek partners with domain-specific challenges that need massive compute.

Collaboration profile

How they like to work

Role: active_partnerReach: European38 countries collaborated

VSB operates primarily as an active technical partner within large European consortia, contributing HPC expertise to multi-disciplinary teams. With 436 unique partners across 38 countries, they are a well-connected hub rather than a closed group — they rarely repeat partners and instead plug into diverse consortia wherever supercomputing skills are needed. Their four coordinator roles (including LEXIS at EUR 1.27M) show growing ambition to lead, but their core strength remains as the reliable HPC backbone in someone else's project.

An exceptionally broad network of 436 unique partners spanning 38 countries, built through sustained involvement in pan-European HPC infrastructure projects like PRACE and EuroCC. Their geographic reach extends well beyond Central Europe, with strong ties to Western European HPC centres, research universities, and industrial partners.

Why partner with them

What sets them apart

VSB combines long-standing supercomputing infrastructure expertise with an unusual breadth of applied domains — from drug discovery to geothermal energy to quantum security — all unified by the common thread of intensive computation. Unlike many HPC-focused institutions in Western Europe, they bring a Central European cost structure and strong Widening Participation credentials, making them an attractive partner for consortia seeking geographic balance. Their continuous involvement in every PRACE implementation phase since 2015 makes them one of the most consistently active HPC contributors among Czech institutions.

Notable projects

Highlights from their portfolio

  • LEXIS
    Their largest coordinated project (EUR 1.27M), demonstrating ability to lead large-scale HPC execution platforms serving both industry and public sector.
  • EUROCC
    Nearly EUR 1M for building the Czech national HPC competence centre — positions them as the country's gateway for industry access to supercomputing.
  • OPENQKD
    A strategic diversification into quantum-safe communications, connecting their computing infrastructure expertise to the emerging European quantum network.
Cross-sector capabilities
manufacturing (predictive maintenance, digital twins)health (drug discovery via HPC)environment (smart water, geothermal energy)security (quantum-safe communications)
Analysis note: Strong profile with 34 projects and clear thematic coherence around HPC. Some project keywords are missing (especially early projects), but the trajectory from infrastructure to applied AI/exascale is well-supported. The geothermal/materials expertise appears distinct from the HPC core — likely reflects separate faculty groups.