CLUSTERATLAS
A field guide to supercomputing

JUWELS Booster

Jülich Supercomputing Centre

CPU Accelerator Interconnect
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JUWELS Booster node architecture

JUWELS Booster is operated by Jülich Supercomputing Centre in Germany. This profile covers Booster module. Specifications are listed below; anything the operator has not published is itemised in the documented-fields list.

Cluster · A100 booster

Operator / site
Jülich Supercomputing Centre
Country
Germany
Profile scope
Booster module
Data checked
14 September 2026
Operating system
Rocky Linux 9
Network topology
Dragonfly+ (20 cells)

A100 booster

Compute nodes of this type
936
CPU model
AMD EPYC 7402 · 24 cores
CPU sockets per node
2
Cores per socket
24
Physical CPU cores
48
Accelerator model
NVIDIA A100
Physical accelerators per node
4
Host / unified memory
512 GB DDR4
Accelerator memory
40 GB per GPU
Accelerator ↔ accelerator link
NVLink 3 · all GPU pairs
CPU ↔ accelerator link
PCIe 4.0
Network interfaces per node
4
Interface model
NVIDIA ConnectX-6 (InfiniBand HDR)
Local storage
Diskless — JSC states the compute nodes have no local disk

Scope and uncertainty

Booster module only; JUWELS Cluster module excluded.

Documented fields: 16 / 25

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 — 2 / 3

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

A100 booster — 14 / 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