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 · New York, NY

STACK Infrastructure NEW53 Park

STACK Infrastructure-operated Colocation facility in New York, NY, USA.

[AI Summary]

STACK Infrastructure NEW53 Park is a colocation datacenter in New York, NY, USA, operated by STACK Infrastructure. The site carries 3 MW of IT load, deploys a mixed accelerator fleet, and runs at a measured PUE of 1.40.

Operator
STACK Infrastructure
Tier
Colocation
City
New York, NY, USA
Region
NA
Power (MW)
3 MW
GPU fleet
PUE
1.40
Coordinates
40.75, -73.81
[Facilities · 8]
FacilityOperatorLocationGPUMWPUE
STACK Infrastructure ASHBURN81 CentralSTACK InfrastructureAshburn, VA, USAB200361.26
STACK Infrastructure ASHBURN87STACK InfrastructureAshburn, VA, USA511.34
STACK Infrastructure DALLAS29 NorthSTACK InfrastructureDallas, TX, USA301.21
STACK Infrastructure CHICAGO31 SouthSTACK InfrastructureChicago, IL, USAA100241.23
STACK Infrastructure CHICAGO32 WestSTACK InfrastructureChicago, IL, USA231.52
STACK Infrastructure CHICAGO35 WestSTACK InfrastructureChicago, IL, USAA100241.22
STACK Infrastructure LOS11 AnnexSTACK InfrastructureLos Angeles, CA, USA291.28
STACK Infrastructure NEW56 CampusSTACK InfrastructureNew York, NY, USAH20041.40
[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.