PLGrid Documentation

Resources

The PLGrid infrastructure provides a wide range of advanced computing and data services that support scientific research and innovation. These resources are designed to meet the diverse needs of researchers , from large-scale simulations and data processing to artificial intelligence (AI), machine learning (ML), and emerging quantum computing applications.

Computing Resources

PLGrid offers access to o a distributed ecosystem of high-performance computing (HPC) clusters located at national supercomputing centers and partner infrastructures, including access to the LUMI EuroHPC system in Finland. The infrastructure includes powerful GPU systems optimized for AI and data-intensive workloads. Users can leverage the latest NVIDIA H100, GH200, and AMD MI250X accelerators for deep learning, model training, and large-scale parallel computations. Traditional CPU-based systems are also available for numerical simulations and scientific modeling across various disciplines. Below, you can find a table containing basic information about available clusters, their hardware configurations, node types, and other technical parameters. More detailed descriptions of each system are available on dedicated subpages, which can be accessed by clicking on the supercomputer names in the table.

Supercomputer Resource type Node specification OS Login node Computing power
# CPU core/node MEM/node GPU accelerator #GPU/node
Ares CPU 48 192 GB Rocky Linux ares.cyfronet.pl/ 4 PFlops
384 GB
GPU 32 384 GB NVIDIA Tesla V100-SXM2 8
Athena GPU 128 1 024 GB NVIDIA A100-SXM-40GB 8 Rocky Linux athena.cyfronet.pl 7.7 PFlops
Helios CPU 192 384 GB Rocky Linux login01.helios.cyfronet.pl 36 PFlops
768 GB
GPU 288 480 GB NVIDIA GH200 96 GB 4
Lem CPU 128 1 536 GB AlmaLinux ui.wcss.pl 21* PFlops
GPU 64 1 006 GB NVIDIA H100 96GB 4
LUMI CPU 128 256 GB SLES 15SP5 lumi.csc.fi 550* PFlops
512 GB
1024 GB
GPU 64 512 GB AMD MI250X 8
Tryton Plus CPU 48 192 GB Rocky Linux 8 plgrid.tryton.task.gda.pl 3,8* PFlops

Storage Resources

Quantum Resources

Researchers can also experiment with quantum computing via the D-Wave cloud platform. This access enables the exploration of quantum annealing techniques, development of hybrid classical–quantum algorithms, and solving of combinatorial optimization problems using real quantum hardware. The service is available through integration with D-Wave’s Leap quantum cloud environment.


Last update: October 27, 2025