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 · Silicon Valley, CA

Compass Datacenters SILICON86 South

Compass Datacenters-operated Colocation facility in Silicon Valley, CA, USA.

[AI Summary]

Compass Datacenters SILICON86 South is a colocation datacenter in Silicon Valley, CA, USA, operated by Compass Datacenters. The site carries 37 MW of IT load, deploys a mixed accelerator fleet, and runs at a measured PUE of 1.33.

Operator
Compass Datacenters
Tier
Colocation
City
Silicon Valley, CA, USA
Region
NA
Power (MW)
37 MW
GPU fleet
PUE
1.33
Coordinates
37.29, -122.25
[Facilities · 8]
FacilityOperatorLocationGPUMWPUE
Compass Datacenters ASHBURN10 NorthCompass DatacentersAshburn, VA, USA181.47
Compass Datacenters ASHBURN56 WestCompass DatacentersAshburn, VA, USA371.24
Compass Datacenters DALLAS33 AnnexCompass DatacentersDallas, TX, USA191.52
Compass Datacenters DALLAS41 WestCompass DatacentersDallas, TX, USA431.35
Compass Datacenters DALLAS52Compass DatacentersDallas, TX, USA101.40
Compass Datacenters DALLAS84 SouthCompass DatacentersDallas, TX, USA241.55
Compass Datacenters DALLAS86 AnnexCompass DatacentersDallas, TX, USAMI300X41.36
Compass Datacenters CHICAGO21 WestCompass DatacentersChicago, IL, USA371.34
[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.