CLUSTERATLAS
A field guide to supercomputing

Meta Research SuperCluster

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Meta Research SuperCluster node architecture

Meta Research SuperCluster is operated by Meta in United States. This profile covers January 2022 first-phase snapshot. Specifications are listed below; anything the operator has not published is itemised in the documented-fields list.

Cluster · DGX A100 · 2022 first phase

Operator / site
Meta
Country
United States
Profile scope
January 2022 first-phase snapshot
Data checked
14 September 2026
Network topology
Two-level Clos, no oversubscription

DGX A100 · 2022 first phase

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

System / node model
NVIDIA DGX A100
Compute nodes of this type
760
CPU model
AMD EPYC 7742
CPU sockets per node
2
Accelerator model
NVIDIA A100
Physical accelerators per node
8
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 Quantum InfiniBand (1,600 Gb/s fabric)
Interface-to-accelerator topology
One adapter per GPU
Form factor
6U rackmount

Scope and uncertainty

January 2022 first-phase snapshot: 760 DGX A100 systems / 6,080 GPUs. Later expansion plans are not counted as installed hardware. CPU and on-node links follow the documented DGX A100 platform; installed memory variant is not published. Node specifications follow the documented NVIDIA DGX A100 platform (6U rackmount); operator-specific deviations are not published.

Documented fields: 14 / 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 — 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 · 2022 first phase — 13 / 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