CLUSTERATLAS
A field guide to supercomputing

Gefion

Danish Centre for AI Innovation

CPU Accelerator Interconnect
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Gefion node architecture

Gefion is operated by Danish Centre for AI Innovation in Denmark. This profile covers Ranked system / partition. Specifications are listed below; anything the operator has not published is itemised in the documented-fields list.

Published benchmark (TOP500 · June 2026)

HPL rank
#43
HPL Rmax
66.59 PFlop/s
Theoretical peak Rpeak
100.63 PFlop/s
Ranked core count
223,088
Measured power
1753 kW
Energy efficiency
37.99 GFlop/s per watt

Cluster · DGX H100 platform

Operator / site
Danish Centre for AI Innovation
Country
Denmark
Profile scope
Ranked system / partition
Data checked
14 September 2026
Manufacturer
Nvidia
Ranked core count
223088
Theoretical peak (PFlop/s)
100.63
Measured power (kW)
1753
Energy efficiency (GFlop/s per watt)
37.98630918425556
Operating system
Red Hat Enterprise Linux
Network topology
Octo-rail InfiniBand (eight-rail, rail-optimised)

DGX H100 platform

Items marked ▧ come from the documented NVIDIA DGX H100 platform specification.

System / node model
NVIDIA DGX H100
Compute nodes of this type
191
CPU model
Xeon Platinum 8480C 56C 2GHz
CPU sockets per node
2
Cores per socket
56
Physical CPU cores
112
Accelerator model
NVIDIA H100 SXM5 80GB
Physical accelerators per node
8
Host / unified memory
2 TB (DGX H100 platform specification)
Accelerator memory
80 GB per GPU
Accelerator ↔ accelerator link
NVLink / NVSwitch
On-node fabric
NVLink 4 through 4 × 4th-generation NVSwitch, 900 GB/s GPU-to-GPU
CPU ↔ accelerator link
PCIe 5.0
Network interfaces per node
8
Interface model
NVIDIA ConnectX-7 single-port InfiniBand
Interface speed
400 Gb/s InfiniBand per adapter
Interface-to-accelerator topology
One adapter per GPU
Management / storage networking
2 × ConnectX-7 dual-port Ethernet (storage and in-band management) + 1 GbE BMC
Local storage
2 × 1.92 TB NVMe M.2 SSD in RAID 1 (OS) + 8 × 3.84 TB NVMe U.2 SSD in RAID 0 (data cache)
Form factor
8U rackmount · 6 × 3.3 kW power supplies (4+2 redundant)

Scope and uncertainty

Node count follows the DCAI announcement: 191 NVIDIA DGX H100 units totalling 1,528 H100 GPUs. The fabric is recorded as the rail structure TOP500 states; note that TOP500 names the interconnect HDR100 (100 Gb/s) while DCAI and NVIDIA describe Quantum-2 InfiniBand (NDR, 400 Gb/s), so the generation is unresolved. Node specifications follow the documented NVIDIA DGX H100 platform (8U rackmount, 6 × 3.3 kW power supplies (4+2 redundant)); operator-specific deviations are not published.

Documented fields: 27 / 29

Every field this catalog checks. Fields listed above have a value; the remainder are shown here. A field marked absent is not publicly available in the sources we could verify, which does not mean the hardware is missing. Fields that cannot apply, such as benchmark results for an unranked system, are excluded from the total.

Cluster — 7 / 7

  • Manufacturer
  • Ranked core count
  • Theoretical peak (PFlop/s)
  • Measured power (kW)
  • Energy efficiency (GFlop/s per watt)
  • Operating system
  • Network topology

DGX H100 platform — 20 / 22

  • System / node model
  • Compute nodes of this type
  • CPU model
  • CPU sockets per node
  • Cores per socket
  • Physical CPU cores
  • CPU note
  • Accelerator model
  • Physical accelerators per node
  • Host / unified memory
  • Accelerator memory
  • Accelerator ↔ accelerator link
  • On-node fabric
  • CPU ↔ accelerator link
  • Network interfaces per node
  • Interface model
  • Interface speed
  • Interface-to-accelerator topology
  • Aggregate scale-out per node
  • GPUDirect RDMA
  • Management / storage networking
  • Local storage
  • NVMe data disks
  • Max remote data disks
  • Uncached disk IOPS
  • Uncached disk throughput (MBps)
  • Form factor

Sources

Browse all cluster architecture pages →

Data & sources