Datacenter.computer is available for acquisition or licensingApple owns Voice.computer +1Amazon owns Shop.computer +2Secure transfer via Escrow.com (buyer pays fees)Contact →Datacenter.computer is available for acquisition or licensingApple owns Voice.computer +1Amazon owns Shop.computer +2Secure transfer via Escrow.com (buyer pays fees)Contact →Datacenter.computer is available for acquisition or licensingApple owns Voice.computer +1Amazon owns Shop.computer +2Secure transfer via Escrow.com (buyer pays fees)Contact →Datacenter.computer is available for acquisition or licensingApple owns Voice.computer +1Amazon owns Shop.computer +2Secure transfer via Escrow.com (buyer pays fees)Contact →
[DC.COMPUTER] Layer 4 · Colocation · Dublin

Bulk Infrastructure DUBLIN33 Central

Bulk Infrastructure-operated Colocation facility in Dublin, Ireland.

[AI Summary]

Bulk Infrastructure DUBLIN33 Central is a colocation datacenter in Dublin, Ireland, operated by Bulk Infrastructure. The site carries 26 MW of IT load, deploys a mixed accelerator fleet, and runs at a measured PUE of 1.33.

Operator
Bulk Infrastructure
Tier
Colocation
City
Dublin, Ireland
Region
EU
Power (MW)
26 MW
GPU fleet
PUE
1.33
Coordinates
53.26, -6.14
[Facilities · 8]
FacilityOperatorLocationGPUMWPUE
Bulk Infrastructure LONDON4 SouthBulk InfrastructureLondon, United Kingdom411.29
Bulk Infrastructure LONDON88 NorthBulk InfrastructureLondon, United Kingdom201.48
Bulk Infrastructure SLOUGH27 AnnexBulk InfrastructureSlough, United Kingdom51.42
Bulk Infrastructure SLOUGH29 EastBulk InfrastructureSlough, United Kingdom121.50
Bulk Infrastructure FRANKFURT2 CentralBulk InfrastructureFrankfurt, Germany411.35
Bulk Infrastructure FRANKFURT6Bulk InfrastructureFrankfurt, Germany191.51
Bulk Infrastructure FRANKFURT8 NorthBulk InfrastructureFrankfurt, Germany291.23
Bulk Infrastructure FRANKFURT10 ParkBulk InfrastructureFrankfurt, Germany381.32
[Knowledge Graph]

Company → Datacenter → GPU → Customer → Industry

Every entity on this site is cross-linked. Follow the graph from operators down to specific facilities, GPU clusters, customers, and sectoral context.