This partition is designed for a wide range of HPC workloads — from parallel scientific simulations to data-intensive applications.
- Number of nodes: 32 × HPE Cray XD2000 (XD225v)
- Processor: 2 × AMD EPYC 9745 (256 cores per node)
- Memory (RAM): 1,536 GB DDR5 ECC
Networking:
2 × 100 Gb/s Ethernet
- 1 × 200 Gb/s NDR200 InfiniBand
This partition delivers high computational performance for traditional HPC applications, optimized parallel algorithms, and workloads with demanding memory requirements.
This section is dedicated to the most demanding computations in artificial intelligence, machine learning, numerical simulations, and data-intensive workloads utilizing GPU acceleration.
- Number of nodes: 26 × HPE ProLiant Compute XD685
- Processor (CPU): 2 × AMD EPYC 9535 (128 cores per node)
- GPU Accelerator: 8 × NVIDIA H200 with 141 GB HBM3e memory each
- Memory (RAM): 2,304 GB DDR5 ECC
Networking:
2 × 100 Gb/s Ethernet
- 4 × 400 Gb/s NDR InfiniBand
- GPU-to-GPU bandwidth: 900 GB/s
- GPU-to-CPU bandwidth: 128 GB/s
- Internal GPU Network: NVIDIA NVLink
Thanks to the NVIDIA Hopper architecture and its high-throughput interconnects, this partition provides exceptional performance for massively parallel workloads, neural-network training, and large-scale data modeling.
By combining these two components — the universal CPU partition and the accelerated GPU partition — the PERUN system enables optimal allocation of computing resources based on task requirements.
Its architecture ensures high performance, stability, and scalability to support research, education, and innovative technological projects.
- Total Performance: 10.7 PFlops (Rmax)
The PERUN Supercomputer is directly connected to a high-speed InfiniBand network and the HPC PERUN data storage system, enabling efficient data processing and full utilization of available computational power.
