CLUSTERATLAS
A field guide to supercomputing

Sophia

Argonne Leadership Computing Facility

CPU Accelerator Interconnect
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Sophia node architecture

Sophia is operated by Argonne Leadership Computing Facility in United States. This profile covers Documented compute profile. Specifications are listed below; anything the operator has not published is itemised in the documented-fields list.

Cluster · DGX A100 · 40 GB

Operator / site
Argonne Leadership Computing Facility
Country
United States
Profile scope
Documented compute profile
Data checked
14 September 2026
Network topology
Fat-tree

DGX A100 · 40 GB

Items marked ▧ come from the documented NVIDIA DGX A100 platform specification.

System / node model
NVIDIA DGX A100
Compute nodes of this type
22
CPU model
AMD Rome · 64 cores
CPU sockets per node
2
Cores per socket
64
Physical CPU cores
128
Accelerator model
NVIDIA A100
Physical accelerators per node
8
Host / unified memory
1 TB DDR4
Accelerator memory
40 GB per GPU
Accelerator ↔ accelerator link
NVLink / NVSwitch
On-node fabric
NVLink 3 through NVSwitch, 600 GB/s GPU-to-GPU
CPU ↔ accelerator link
PCIe 4.0
Network interfaces per node
8
Interface model
NVIDIA ConnectX-6 / ConnectX-7 (platform configuration)
Interface-to-accelerator topology
One adapter per GPU
Local storage
4 × 3.84 TB NVMe
Form factor
6U rackmount

DGX A100 · 80 GB

Items marked ▧ come from the documented NVIDIA DGX A100 platform specification.

System / node model
NVIDIA DGX A100
Compute nodes of this type
2
CPU model
AMD Rome · 64 cores
CPU sockets per node
2
Cores per socket
64
Physical CPU cores
128
Accelerator model
NVIDIA A100
Physical accelerators per node
8
Host / unified memory
2 TB DDR4
Accelerator memory
80 GB per GPU
Accelerator ↔ accelerator link
NVLink / NVSwitch
On-node fabric
NVLink 3 through NVSwitch, 600 GB/s GPU-to-GPU
CPU ↔ accelerator link
PCIe 4.0
Network interfaces per node
8
Interface model
NVIDIA ConnectX-6 / ConnectX-7 (platform configuration)
Interface-to-accelerator topology
One adapter per GPU
Local storage
4 × 3.84 TB NVMe
Form factor
6U rackmount

Scope and uncertainty

Twenty-two 320 GB GPU-memory nodes and two 640 GB GPU-memory nodes. Memory capacities are kept separate by node type. Node specifications follow the documented NVIDIA DGX A100 platform (6U rackmount); operator-specific deviations are not published.

Documented fields: 37 / 47

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 — 1 / 3

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

DGX A100 · 40 GB — 18 / 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

DGX A100 · 80 GB — 18 / 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

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Data & sources