innovation driven efficient computing

The Innovation Computing initiative has been launched by Poznan Supercomputing and Networking Center in 2019 after almost two decades of the involvement in many international and national R&D projects related to resource management in distributed computing environments, including Grids, HPC, Cloud and Edge. It consists of a set of high quality software, infrastructure and hardware components integrated into a consistent PaaS solution which can be providedon request to any computing infrastructure.


The QCG software delivers a set of highly efficient beck-end services and access tools for remote application control and steering of distributed and parallel computing experiments on one or many  Containerised platforms, Cloud, HPC and HTC systems. QCG offers a fully flexible, data- and event-oriented programming and execution environment with APIs and SDK helping users to link together supercomputers, computing clusters with microservers and edge-computing devices.

The IBIS is a data management platform for modern web application developers integrating together various databases and storage file systems into one, highly scalable system. It extends a computer data storage architecture with fine grained data object and cache schemas management and it offers a set of well defined REST APIs for remote data objects integration, orchestration, versioning and sharing among multiple users.


powerfull ai

Monitoring & Evaluation

optimiseD paas

energy efficient computing

Optimised tools for training deep learning models using HPC resources and for their inferencein the edge. Efficient systems for analytics of data coming from IoT devices using statistical analysisand machine learning.

Advanced monitoring system with visualisationof resources and data analysis along with a microdata centre laboratory environment for tests, benchmarks and assessment of systems efficiency and performance.

Optimised PaaS appliance providing flexibilityin building and deployment of web applications.Provides possibility to integrate it with AI toolsand to make use of hardware accelerators.

Intelligent resource and thermal management tools to reduce energy consumption and to limit power and temperature using power capping, energy saving and thermal control methods. Adapt to applications and enable autonomous management of heterogenous hardware including microservers.



smart industry

smart cities


The tools and services presented above have been successfully applied to multiple large-scale scientific applications, such as numerical weather forecasts, molecular biology, fusion, astrophysics and more. Additionally, they have been integrated and deployed on many distributed computing infrastructures to provide fully consistent programming and execution environments,in particular for multiscale and multiphysic simulations, together with advanced in-situand interactive visual interfaces.

Applications for Smart Industry include optimisation of factories efficiency basedon analysis of machine states, analysis of data from electrical buses to find reasons of anomalies or prediction of failures of industrial devices.In many cases large scale computations are integrated with data processing onsite requiring advanced data processing architectures.

Applications for smart cities include prediction of air pollution, which integrates fine-grained simulations, measurements from remote sensors. Other solutions are designed for smart transport, energy and environment monitoring and protection.

Educational applications span from innovative on-line games and robotics for kids replacingthe old fashion PCs in classrooms with web-based interactive online edu courses using remotely deployed educational applications.




In case you need more information please contact:


Krzysztof Kurowski, Head of Application Department, PSNC,

Ariel Oleksiak, Head of Energy-Efficiency ICT Laboratory, PSNC,

Tomasz Piontek, Head of Large-Scale Applications Laboratory, PSNC,

This platform is provided by Poznan Supercomputing and Networking Center

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