KIO SANTA FE 3

DATA CENTER MEX | 3

1 Data Hall

Alfonso Nápoles Gándara 50 PB, Colonia Peña Blanca Santa Fe,
Ciudad de México, C.P. 01210.
Coordinates: (19.372848, -99.2627127,17z)
dc_ubicaciones_do1@3x-Feb-23-2022-02-38-18-86-PM

Characteristics

Design

A Data Hall in 902 m2 of construction with 129 kW with anti-seismic pedestals and category 4 structure.

Power capacity

It has 4 UPS of 225kVA and 2 UPS of 130 kVA, redundant configuration with enough capacity to provide uninterrupted filtered power to all the installed equipment.

Redundancy

It has 2N for electrical equipment with two 1 MW emergency electric generators. In addition, it has 4 diesel storage tanks granting 4 days of autonomy. The cooling systems have an N+1 configuration.

Certifications and standards

Grupo 2302@3x
Grupo 2307 (1)
Grupo 2308
Grupo 2013
cerr-5
Grupo 2310

Check out our spec sheet and discover the technical specifications of Mex|3.

Download specsheet

In this Data Center you can connect with:

New Project (12)
akamai-1
american-tower
Arelion-png-1
azure-1
BiVa-1
blackBurn
Grupo 4361
New Project (10)-1
Clearcom  (1)
cloudflare
cogent-1
edgeuno.com
New Project (8)
google-cloud
12_ientc-1
marcatel-1
maxihost-1
20_mcm
neutral-networks
New Project (11)-1
quanti
quattrocom
kio-servicios
totalplay
14_transtelco-1
zenlayer-2

Need more information about KIO Networks "MEX|3"?

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CONTÁCTANOS

Resources

Articles, news and best practices to keep you up to date on technology and innovation.

  • Find out how a Data Center with a great diversity of companies allows you to create faster services and a better experience for your users.

  • We are the first company in the world with this certification! This corresponds not to an individual Data Center, but rather to the entire network, guaranteeing the quality of our infrastructure.

  • In the face of the pandemic, we had to be resilient and supportive in order to maintain business continuity and to support the well-being of our collaborators.

  • The Cloud has an immediate impact on companies: it eliminates the initial investment in RPA, AI and Machine Learning technologies.