COMPUTE ATLAS Supercomputer supply-chain graph
1153 systems 482 sites Sourced data

Parts/Accelerators/NVIDIA A100 SXM4 80GB

Accelerators · Ampere · 2020

NVIDIA A100 SXM4 80GB

A100 SXM module with 80 GB of HBM, eight per node in HGX/DGX-class training servers.

Why this part

Added for the Seren and Kalos clusters, whose paper states eight A100-SXM 80GB GPUs per node joined by NVLink and NVSwitch. No release year is recorded because the cited paper does not give one.

Systems using this part

Systems
11
Rmax underneath
54.16 PFlop/s
Units recorded
6,192
8 of 11 edges disclose a quantity
System Role Country Units System Rmax Supplied by Rank
SK Telecom Titan
2022-05
Accelerator South Korea 1,040 19.53 PFlop/s NVIDIA #92 →
Champollion
2022-05
Accelerator France 160 2.32 PFlop/s NVIDIA #10 →
Tethys
2021-11
Accelerator USA - 2.26 PFlop/s NVIDIA #3 →
Hortense
2021
Accelerator Belgium 80 - NVIDIA -
Voyager-EUS2
2021
Accelerator USA - 30.05 PFlop/s NVIDIA #10 →
Mahuika
2018
Accelerator New Zealand - - NVIDIA -
Seren (Shanghai AI Lab)
Accelerator China 2,288 - NVIDIA -
Kalos (Shanghai AI Lab)
Accelerator China 2,416 - NVIDIA -
Imperial HX1
Accelerator United Kingdom 60 - NVIDIA -
Quest (Northwestern)
Accelerator USA 72 - NVIDIA -
CSF3
Accelerator United Kingdom 76 - NVIDIA -

“Units recorded” sums only the edges where a public source states a quantity. It is a floor, not a total, and should never be read as installed base.

Further reading