CLUSTERATLAS
A field guide to supercomputing

Delta

NCSA · University of Illinois

CPU Accelerator Interconnect
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Delta node architecture

Delta is operated by NCSA · University of Illinois in United States. This profile covers the documented compute inventory. Specifications are listed below; anything the operator has not published is itemised in the documented-fields list.

Cluster · A100 ×4

Operator / site
NCSA · University of Illinois
Country
United States
Profile scope
Documented compute inventory
Data checked
13 September 2026
Operating system
Red Hat Enterprise Linux 9

A100 ×4

Compute nodes of this type
100
CPU model
AMD EPYC 7763 · 64 cores
CPU sockets per node
1
Cores per socket
64
Physical CPU cores
64
Accelerator model
NVIDIA A100
Physical accelerators per node
4
Host / unified memory
256 GB
Accelerator memory
40 GB per GPU
Accelerator ↔ accelerator link
NVLink · all GPU pairs
On-node fabric
NVLink — four bonded links between every GPU pair (NV4 in the operator affinity matrix)
CPU ↔ accelerator link
PCIe 4.0
Interface speed
200 Gb/s (HPE Slingshot 11)
Local storage
1.5 TB local

A40 ×4

Compute nodes of this type
100
CPU model
AMD EPYC 7763 · 64 cores
CPU sockets per node
1
Cores per socket
64
Physical CPU cores
64
Accelerator model
NVIDIA A40
Physical accelerators per node
4
Host / unified memory
256 GB
Accelerator memory
48 GB per GPU
Accelerator ↔ accelerator link
PCIe Gen4 through the host — no GPU-to-GPU NVLink
On-node fabric
None — NCSA's affinity matrix shows SYS (via the host bridge) between all four A40 GPUs
CPU ↔ accelerator link
PCIe Gen4
Interface speed
200 Gb/s (HPE Slingshot 11)
Local storage
1.5 TB local

CPU only

Compute nodes of this type
132
CPU model
AMD EPYC 7763 · 64 cores
CPU sockets per node
2
Cores per socket
64
Physical CPU cores
128
Host / unified memory
256 GB
Interface speed
200 Gb/s (HPE Slingshot 11)
Local storage
0.74 TB local

A100 ×8

Compute nodes of this type
6
CPU model
AMD EPYC 7763 · 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
2,048 GB
Accelerator memory
40 GB per GPU
Accelerator ↔ accelerator link
NVLink / NVSwitch
On-node fabric
NVLink — twelve bonded links between every GPU pair (NV12 in the operator affinity matrix)
CPU ↔ accelerator link
PCIe 4.0
Interface speed
200 Gb/s (HPE Slingshot 11)
Local storage
1.5 TB local

H200 ×8

Compute nodes of this type
8
CPU model
Intel Xeon Platinum 8558 · 48 cores
CPU sockets per node
2
Cores per socket
48
Physical CPU cores
96
Accelerator model
NVIDIA H200
Physical accelerators per node
8
Host / unified memory
2,048 GB
Accelerator memory
141 GB per GPU
Accelerator ↔ accelerator link
NVLink · all GPU pairs
On-node fabric
NVLink — eighteen bonded links between every GPU pair (NV18 in the operator affinity matrix)
Interface speed
200 Gb/s (HPE Slingshot 11)
Local storage
2.0 TB local

MI100 / MI210

Compute nodes of this type
1
CPU model
AMD Milan · 64 cores
CPU sockets per node
2
Cores per socket
64
Physical CPU cores
128
Accelerator model
8 × MI100 + 1 × MI210
Physical accelerators per node
9
Host / unified memory
2,048 GB
Accelerator memory
32 GB per GPU (operator table)
Interface speed
200 Gb/s (HPE Slingshot 11)
Local storage
1.5 TB local

Scope and uncertainty

Compute-node counts follow individual specification tables. The operator page's introductory large-memory count is inconsistent with those tables.

Documented fields: 75 / 128

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

A100 ×4 — 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

A40 ×4 — 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

CPU only — 8 / 15

  • 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

A100 ×8 — 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

H200 ×8 — 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

MI100 / MI210 — 11 / 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