Complementary Systems

Compute partition 1 – Arm A64FX processors

The compute nodes of the first part of complementary systems are built on Arm A64FX processors with integrated fast HBM2 memory. It is a fragment of one of the world's most powerful supercomputers in recent years, Fugaku, installed at the RIKEN Center of Computational Science in Japan (currently the second most powerful supercomputer). The configuration consists of eight HPE Apollo 80 compute nodes interconnected by a 100Gb/s Infiniband network.

Configuration of each compute node:

• 1× Arm A64FX, 48 cores, 2 GHz, 32 GB HBM2 memory
• 400 GB SSD
• HDR Infiniband 100 Gb/s

Two compute nodes equipped with ARM64FX

Compute partition 2 – Intel processors, Intel PMEM, Intel FPGA (Altera)

The compute nodes in this part of complementary systems are based on Intel technologies. The servers are equipped with third-generation Intel Xeon processors and persistent (non-volatile) Intel Optane memory with a total capacity of 2TB and 8TB per server, and Intel Stratix 10 FPGA cards.

This part consists of two HPE ProLiant DL380 Gen 10 Plus nodes in the configuration:

• 2× Intel Xeon Gold 6338, 32 cores, 2 GHz
• 256 GB RAM
• 8 TB and 2 TB Intel Optane Persistent Memory (NVDIMM)
• 3,2 TB NVMe SSD
• 2× FPGA Bittware 520N-MX (Intel Stratix 10)
• HDR Infiniband 100 Gb/s

Intel Stratix FPGA card

Compute partition 3 – AMD processors, AMD accelerators, AMD FPGA (Xilinx)

The third part of complementary systems is built on AMD technologies. The servers are equipped with third-generation AMD EPYC processors, four AMD Instinct MI100 GPU cards interconnected by a fast bus (AMD Infinity Fabric), and two Xilinx Alveo FPGA cards, both being different in performance. Xilinx is one of AMD's latest significant acquisitions. This part consists of two HPE Apollo 6500 Gen 10+ nodes in the following configuration:

• 2× AMD EPYC 7513, 32 jader, 2,6 GHz
• 256 GB RAM
• 3,2 TB NVMe SSD
• 4× AMD Instinct MI100 (AMD Infinity Fabric Link)
• FPGA Xilinx Alveo U250
• FPGA Xilinx Alveo U280
• HDR Infiniband 100 Gb/s

CPU partition of the HPE Apollo 6500 Gen10 Plus server

Compute partition 4 – Edge server

Complementary systems also include the HPE EL1000 edge server, designed to process AI jobs directly at the data source, often outside the data centre. The server has high computing power for AI inference thanks to the NVIDIA Tesla T4 GPU accelerator, several technologies for communication (10Gb Ethernet, Wifi, LTE), and low power consumption.

• 1× Intel Xeon D-1587, 16 jader, TDP 65W
• 1x NVIDIA Tesla T4, 16 GB, TDP 70W
• 128 GB RAM
• 1,92 TB SSD storage
• Interconnect:
  • 2x 10 Gbps Ethernet, 
  • WiFi 802.11ac,
  • LTE connectivity
• Power consumption of up to 500W

HPE Edgeline EL1000