COMPUTE ATLAS Supercomputer supply-chain graph
1540 systems 545 sites Sourced data

Companies/Supermicro

San Jose, CA, USA

Supermicro

High-density GPU server integrator, heavily represented in commercial AI cluster buildouts.

Systems this company appears in

Systems
35
Aggregate Rmax
336.4 PFlop/s
systems it appears in
Aggregate power
5.08 MW
where disclosed
First appearance
2006
Most recent
2026-06
Concentration
21%
largest is NIPA (Kakao)

Aggregate Rmax is the sum of the systems this company supplies any part of. It is not revenue and not attributable share: an integrator and a memory vendor in the same machine both count its full FLOPS here. Attribution weighted by role is Phase 4.

Role breakdown

Role Systems Rmax in those systems
Integrator 34 329.5 PFlop/s
Storage 1 6.92 PFlop/s
Cooling 1 none published

Appearances

System Supplied as Shipped under Rmax Rank
Jairu
Brazil · 2026-02
Integrator Supermicro - unranked
NIPA (Kakao)
South Korea · 2026-01
Integrator Supermicro 69.10 PFlop/s #39 June 2026 →
Tigris (RIT)
USA · 2026
Integrator Supermicro 5.08 PFlop/s unranked
SAKURAONE CYD
Japan · 2026
Integrator Supermicro 37.79 PFlop/s unranked
Haein Cluster
South Korea · 2025-08-05
Integrator Supermicro - unranked
AI-03
United Arab Emirates · 2025-06
Integrator Supermicro 54.12 PFlop/s #47 June 2026 →
AI-Farabium
Kazakhstan · 2025
Integrator Supermicro 17.93 PFlop/s #103 November 2025 →
SAKURAONE CYC
Japan · 2025
Integrator Supermicro 19.31 PFlop/s #93 November 2025 →
SAKURAONE CYB
Japan · 2025
Integrator Supermicro 13.05 PFlop/s #136 November 2025 →
xAI Colossus
USA · 2024-07
Cooling, Integrator Supermicro - unranked
Svartisen
Norway · 2024
Integrator Supermicro 7.40 PFlop/s #156 November 2024 →
kakaocloud EPYC A100 Cluster
South Korea · 2024
Integrator Supermicro 32.00 PFlop/s #44 June 2024 →
NEC AI Research Supercomputer
Japan · 2022-05
Integrator Supermicro - unranked
Voyager
USA · 2022
Integrator Supermicro - unranked
Serafin
Argentina · 2021-08
Integrator Supermicro - unranked
Vega
Slovenia · 2021-04
Storage Supermicro 6.92 PFlop/s #106 June 2021 →
Ruby (LLNL)
USA · 2020
Integrator Supermicro 3.70 PFlop/s #79 November 2020 →
Corona
USA · 2019
Integrator Supermicro - unranked
SWARM (Wuhan University)
China · 2019
Integrator Supermicro 1.40 PFlop/s #479 November 2020 →
Caliburn
USA · 2016
Integrator Supermicro 602.98 TFlop/s #167 June 2016 →
Sango
Japan · 2015
Integrator Supermicro 252.70 TFlop/s #403 November 2015 →
Swierk Computing Centre
Poland · 2015
Integrator Supermicro 423.16 TFlop/s #155 June 2015 →
TSUBAME-KFC
Japan · 2013-10
Integrator Supermicro 125.20 TFlop/s #1 November 2013 →
Abisko
Sweden · 2012
Integrator Supermicro 131.90 TFlop/s #130 June 2012 →
HokieSpeed
USA · 2011-12
Integrator Supermicro 120.40 TFlop/s #147 June 2012 →
LOEWE-CSC
Germany · 2010
Integrator Supermicro 285.20 TFlop/s #22 November 2010 →
NASA Discover
USA · 2006
Integrator Supermicro - unranked
SAKURAONE
Japan ·
Integrator Supermicro 33.95 PFlop/s #49 June 2025 →
Pegasus
Brazil ·
Integrator Supermicro 19.07 PFlop/s #33 November 2022 →
Goethe-NHR
Germany ·
Integrator Supermicro 9.09 PFlop/s #9 June 2023 →
Katana
Australia ·
Integrator Supermicro - unranked
Casper
USA ·
Integrator Supermicro - unranked
MareNostrum 5 AI
Spain ·
Integrator Supermicro - unranked
Peano
Italy ·
Integrator Supermicro 4.53 PFlop/s unranked
BNL Institutional Cluster Gen2
USA ·
Integrator Supermicro - unranked

Compute deals

DateRoleCounterpartyTypeMWValue ($bn)Source
2025-05 Seller DataVolt Chip supply - 20 baxtel.com

Headline values are as announced and are not additive. See all compute deals.

Related news

  • d-Matrix Announces Squadron Compute Clusters for AI Inference at Data Center Scale · HPCwire
    d-Matrix, built around its own memory-centric Corsair XPU chip, is now shipping full air-cooled, multi-rack "Squadron" inference clusters (up to 1,024 XPUs) built with Supermicro, Arista and Broadcom, already running at its own Arizona site and now shipping to outside customers -- a new merchant-silicon entrant at the inference-accelerator layer this graph tracks, pitched for heterogeneous GPU-plus-XPU deployments rather than as a drop-in GPU replacement.

All news →

Further reading