While some of the largest and most complex data centers belong to well-known internet giants like Facebook, Google, and Amazon, there are even larger facilities owned by companies you may never have even heard of.
The Anatomy Of The Google Architecture Fina Lv1.1Hassy Veldstra
A comprehensive overview of Google's architecture - starting from the search page and all the way to its internal networks.
By Ed Austin, talk given at Edinburgh Techmeetup in December 2009
http://techmeetup.co.uk
Raritan Presents Green Data Centers Around the WorldRaritan
As cloud computing necessitates the use of more and more data centers on a global scale, technology firms have begun to embrace the use of renewable energy and other naturally available resources to increase efficiency and lower costs.
The Anatomy Of The Google Architecture Fina Lv1.1Hassy Veldstra
A comprehensive overview of Google's architecture - starting from the search page and all the way to its internal networks.
By Ed Austin, talk given at Edinburgh Techmeetup in December 2009
http://techmeetup.co.uk
Raritan Presents Green Data Centers Around the WorldRaritan
As cloud computing necessitates the use of more and more data centers on a global scale, technology firms have begun to embrace the use of renewable energy and other naturally available resources to increase efficiency and lower costs.
Do you think how big companies like google, facebook , adobe, ...etc, are store millians of data and also how they secure all those data. Please watch to know all these actual reality.
Data Center Lessons Learned at an Intel data center. Innovations in cost and energy savings in high-density data centers including: air economizer, retrofit of factory builiding, high efficiency air-cooled cabinets, and a container data center proof-of-concept.
Learn about TerraEchos Kairos on IBM PowerLinux servers. A world leader in stream computing harnesses the power of real-time associative analytics for extreme
workflow optimization in the big data arena. For more information on Power Systems, visit http://ibm.co/Lx6hfc.
Visit http://on.fb.me/LT4gdu to 'Like' the official Facebook page of IBM India Smarter Computing.
EXPLOITING RASPBERRY PI CLUSTERS AND CAMPUS LAB COMPUTERS FOR DISTRIBUTED COM...ijcsit
Distributed computing networks harness the power of existing computing resources and grant access to
significant computing power while averting the costs of a supercomputer. This work aims to configure
distributed computing networks using different computer devices and explore the benefits of the computing
power of such networks. First, an HTCondor pool consisting of sixteen Raspberry Pi single-board
computers and one laptop is created. The second distributed computing network is set up with Windows
computers in university campus labs. With the HTCondor setup, researchers inside the university can
utilize the lab computers as computing resources. In addition, the HTCondor pool is configured alongside
the BOINC installation on both computer clusters, allowing them to contribute to high-throughput
scientific computing projects in the research community when the computers would otherwise sit idle. The
scalability of these two distributed computing networks is investigated through a matrix multiplication
program and the performance of the HTCondor pool is also quantified using its built-in benchmark tool.
With such a setup, the limits of the distributed computing network architecture in computationally intensive
problems are explored.
Distributed computing networks harness the power of existing computing resources and grant access to
significant computing power while averting the costs of a supercomputer. This work aims to configure
distributed computing networks using different computer devices and explore the benefits of the computing
power of such networks. First, an HTCondor pool consisting of sixteen Raspberry Pi single-board
computers and one laptop is created. The second distributed computing network is set up with Windows
computers in university campus labs. With the HTCondor setup, researchers inside the university can
utilize the lab computers as computing resources. In addition, the HTCondor pool is configured alongside
the BOINC installation on both computer clusters, allowing them to contribute to high-throughput
scientific computing projects in the research community when the computers would otherwise sit idle. The
scalability of these two distributed computing networks is investigated through a matrix multiplication
program and the performance of the HTCondor pool is also quantified using its built-in benchmark tool.
With such a setup, the limits of the distributed computing network architecture in computationally intensive
problems are explored.
My perspective on the evolution of big data from the perspective of a distributed systems researcher & engineer -- the background of how it get started, the scale-out paradigm, industry use cases, open source development paradigm, and interesting future challenges.
Case Study - What is the Source of Your Water AWG Farm for Data Centers.pptxPanLbilt Global
Data Centers extract massive quantities of groundwater to cool their equipment in a time where existing and diminishing water resources are being rapidly depleted impacting the supply of fresh water.
Presentazione del progetto a Peter Ansell, on-shore operations Director di Acea (America's Cup Event Authority), presso i palchi allestiti per l'evento American's Cup di Napoli il 7 aprile 2012
Next Generation Serial Console Server the Dominion SX II Raritan
The Dominion SX II is a next-generation serial console server that provides IT and network administrators secure serial-over-IP access and control of devices -- anytime, anywhere. The new SX II is the most powerful, secure, reliable, easy-to-use console server on the market. SX II provides convenient access to servers, networking devices, security appliances, rack PDUs, virtual hosts, and wireless / telecom equipment.
Raritan AV-over-IP (RAV-IP) Distribution SystemRaritan
The Raritan AV-over-IP (RAV-IP) Distribution System is a simple, powerful, and economical video-over-IP distribution system that’s perfect for small and midsized digital signage applications. It requires little to no AV expertise. Key features include:
• High performance audio and video streaming over IP
• AV and KVM over IP extension, distribution, and switching.
• Uses low cost Cat5/6 cable, fiber, and Ethernet switches.
• Out-of-the-box installation with minimal setup requirements.
• Easy to expand - just add more encoders and decoders.
More Related Content
Similar to Raritan Presents the Worlds Largest Data Centers
Do you think how big companies like google, facebook , adobe, ...etc, are store millians of data and also how they secure all those data. Please watch to know all these actual reality.
Data Center Lessons Learned at an Intel data center. Innovations in cost and energy savings in high-density data centers including: air economizer, retrofit of factory builiding, high efficiency air-cooled cabinets, and a container data center proof-of-concept.
Learn about TerraEchos Kairos on IBM PowerLinux servers. A world leader in stream computing harnesses the power of real-time associative analytics for extreme
workflow optimization in the big data arena. For more information on Power Systems, visit http://ibm.co/Lx6hfc.
Visit http://on.fb.me/LT4gdu to 'Like' the official Facebook page of IBM India Smarter Computing.
EXPLOITING RASPBERRY PI CLUSTERS AND CAMPUS LAB COMPUTERS FOR DISTRIBUTED COM...ijcsit
Distributed computing networks harness the power of existing computing resources and grant access to
significant computing power while averting the costs of a supercomputer. This work aims to configure
distributed computing networks using different computer devices and explore the benefits of the computing
power of such networks. First, an HTCondor pool consisting of sixteen Raspberry Pi single-board
computers and one laptop is created. The second distributed computing network is set up with Windows
computers in university campus labs. With the HTCondor setup, researchers inside the university can
utilize the lab computers as computing resources. In addition, the HTCondor pool is configured alongside
the BOINC installation on both computer clusters, allowing them to contribute to high-throughput
scientific computing projects in the research community when the computers would otherwise sit idle. The
scalability of these two distributed computing networks is investigated through a matrix multiplication
program and the performance of the HTCondor pool is also quantified using its built-in benchmark tool.
With such a setup, the limits of the distributed computing network architecture in computationally intensive
problems are explored.
Distributed computing networks harness the power of existing computing resources and grant access to
significant computing power while averting the costs of a supercomputer. This work aims to configure
distributed computing networks using different computer devices and explore the benefits of the computing
power of such networks. First, an HTCondor pool consisting of sixteen Raspberry Pi single-board
computers and one laptop is created. The second distributed computing network is set up with Windows
computers in university campus labs. With the HTCondor setup, researchers inside the university can
utilize the lab computers as computing resources. In addition, the HTCondor pool is configured alongside
the BOINC installation on both computer clusters, allowing them to contribute to high-throughput
scientific computing projects in the research community when the computers would otherwise sit idle. The
scalability of these two distributed computing networks is investigated through a matrix multiplication
program and the performance of the HTCondor pool is also quantified using its built-in benchmark tool.
With such a setup, the limits of the distributed computing network architecture in computationally intensive
problems are explored.
My perspective on the evolution of big data from the perspective of a distributed systems researcher & engineer -- the background of how it get started, the scale-out paradigm, industry use cases, open source development paradigm, and interesting future challenges.
Case Study - What is the Source of Your Water AWG Farm for Data Centers.pptxPanLbilt Global
Data Centers extract massive quantities of groundwater to cool their equipment in a time where existing and diminishing water resources are being rapidly depleted impacting the supply of fresh water.
Presentazione del progetto a Peter Ansell, on-shore operations Director di Acea (America's Cup Event Authority), presso i palchi allestiti per l'evento American's Cup di Napoli il 7 aprile 2012
Next Generation Serial Console Server the Dominion SX II Raritan
The Dominion SX II is a next-generation serial console server that provides IT and network administrators secure serial-over-IP access and control of devices -- anytime, anywhere. The new SX II is the most powerful, secure, reliable, easy-to-use console server on the market. SX II provides convenient access to servers, networking devices, security appliances, rack PDUs, virtual hosts, and wireless / telecom equipment.
Raritan AV-over-IP (RAV-IP) Distribution SystemRaritan
The Raritan AV-over-IP (RAV-IP) Distribution System is a simple, powerful, and economical video-over-IP distribution system that’s perfect for small and midsized digital signage applications. It requires little to no AV expertise. Key features include:
• High performance audio and video streaming over IP
• AV and KVM over IP extension, distribution, and switching.
• Uses low cost Cat5/6 cable, fiber, and Ethernet switches.
• Out-of-the-box installation with minimal setup requirements.
• Easy to expand - just add more encoders and decoders.
Cloud initiatives are some of the most important projects for IT departments worldwide, with revenue expected to grow to more than 209 billion in 2016. International Data Group estimates the majority of cloud computing’s disruption to be focused on improving service while generating new revenue streams.
Raritan Environment Sensors for Data CentersRaritan
Environment sensors are an easy to install, cost-effective way to reduce energy costs, improve reliability,
and increase capacity for future data center growth. By using environmental sensors you can optimize your
data center ecosystem to ensure that you are meeting equipment guidelines, reducing operational costs,
deferring capital investments, and improving your power usage effectiveness (PUE).
Why the Hybrid Rack Transfer Switch is Superior to ATS and STSRaritan
Lots of data center vendors offer transfer switches, but they normally fall into one of only two categories: relay-based Automatic Transfer Switches (ATS) or Static Transfer Switches (STS) that rely on silicon-controlled rectifiers (SCRs). Although effective in switching between power feeds, they both have inherent design flaws that hinder both performance and reliability – two areas where a hybrid rack transfer switch really excels.
5 Reasons You Need the Latest Generation of iPDURaritan
Raritan’s PX® intelligent rack PDU series offers more than just power distribution -- it’s a launch pad for real-time remote power monitoring, environmental sensors, data center infrastructure management, and so much more.
Four of the Most Innovative Features of Rack PDUsRaritan
See how far intelligent rack PDUs have come from the commodity rack mount strip of yesteryear and how it can help you mange your power and capacity much more wisely.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
1. BY RARITAN® | THE LEADER IN DCIM
Has a backup of 53 generators
Atlanta, GA
Google’s massive data centers are located in
13 locations around the world.
2000
2014
i/O’s Phoenix based data center is a
538,000 sq ft server farm backed by
Responsible for approximately 01% of global energy usage.
(enough to continuously power 200,000 homes)
1954
The world’s largest social network stores about 100 petabytes of data for it’s approximately
1 billion users which is cooled by a natural airflow system.
Dublin,
Ireland
YB ZB
Chicago, IL
Sources:
http://www.forbes.com/pictures/fhgl45ijg/switch-supernap/
http://www.globaldots.com/behold-largest-data-centers-in-the-world/
http://www.datacentermap.com/
http://www.supernap.com/supernaps.html
https://www.datacenterknowledge.com/archives/2009/01/06/chicagos-data-fortress-for-the-digital-economy/
http://www.forbes.com/sites/kashmirhill/2013/07/24/blueprints-of-nsa-data-center-in-utah-suggest-its-storage-capacity-is-less-
impressive-than-thought
http://www.wired.com/threatlevel/2012/03/ff_nsadatacenter/
http://www.makeuseof.com/tag/5-worlds-biggest-data-centers-stats-pics/
http://www.terremark.com/data-centers/north-america/nap-americas/
http://www.terremark.com/uploads/documents/TMRK-NOTA_02_Screen.pdf
http://www.datacenterknowledge.com/special-report-the-worlds-largest-
data-centers/worlds-largest-data-center-350-e-cermak/
http://www.digitalrealty.com/property-details/?propertyId=a028000000AXP9oAAH
http://investor.digitalrealty.com/Cache/1500055822.PDF?Y=&O=PDF&D=&fid=1500055822&T=&iid=4094311
http://www.datacentermap.com/usa/ohio/columbus/metro-data-center.html
http://metrodatacenter.com/
http://blogs.wsj.com/moneybeat/2013/10/14/io-data-centers-could-launch-ipo-in-december/
http://blogs.wsj.com/moneybeat/2013/10/14/io-data-centers-could-launch-ipo-in-december/
http://www.datacentermap.com/usa/new-jersey/edison/io-new-jersey.html
http://www.youtube.com/watch?v=P0qpiTddcxs&feature=youtu.be
http://www.datacenterknowledge.com/archives/2011/03/23/io-data-centers-opens-massive-nj-site/
http://www.datacenterknowledge.com/an-inside-look-at-phoenix-one-data-center/power-and-cooling-at-phoenix-one/
Bangalore, India
Washington
San Antonio, TX
润泽国际信息港
Range International Information Group
http://www.datacenterknowledge.com/an-inside-look-at-phoenix-one-data-center/the-worlds-largest-raised-floor/
http://www.datacenterknowledge.com/an-inside-look-at-phoenix-one-data-center/
http://www.datacenterknowledge.com/special-report-the-worlds-largest-
data-centers/largest-data-centers-io-data-centers-microsoft/
http://www.datacenterknowledge.com/special-report-the-worlds-largest-
data-centers/largest-data-centers-supernap-microsoft-dft/#supernap
http://www.datacenterknowledge.com/special-report-the-worlds-largest-
data-centers/largest-data-centers-ngd-terremark-qts/
http://www.datacenterknowledge.com/special-report-the-worlds-largest-
data-centers/worlds-largest-data-center-350-e-cermak/
http://www.techopedia.com/2/29345/enterprise/data-centers/infographic-the-worlds-10-largest-data-centers
http://www.8newsnow.com/story/17279265/game-changers
http://www.datacenterknowledge.com/archives/2011/01/25/ibms-china-cloud-project-exactly-how-big/
http://www.datacenterknowledge.com/archives/2014/02/13/new-data-
center-design-drives-efficiency-gains-dupont-fabros/
http://www.informationweek.com/infrastructure/data-center/5-data-center-trends-for-2013/d/d-id/1107963?
http://appleinsider.com/articles/13/03/25/apples-icloud-reigning-over-the-greenest-data-centers-on-the-planet
http://storageservers.wordpress.com/2013/07/17/facts-and-stats-of-worlds-largest-data-centers/
http://www.globalfoundationservices.com/posts/2013/april/17/10-earth-friendly-facts-about-microsofts-cloud-infrastructur
e.aspx
http://www.nowtheendbegins.com/blog/?tag=utah-data-center
http://www.theguardian.com/world/2014/feb/12/utah-lawmaker-nsa-data-centre-water-supply
Hebei province, China.
Scheduled for completion in 2016, Range is a massive 6.3m
2016 square foot data center in the Hebei province of China.
Nearly the same size as the United States Pentagon, Range will
serve as the IT infrastructure platform of Langfang Range Int’l
Information Hub in the Hebei Langfang Economic
Development Zone.
Range will also be used to support Langfang City’s development and
hosting for smarter transportation, e-government and administration
systems, as well as food and drug safety services.
This somewhat controversial data center is said to hold massive
amounts of data measured in relatively unheard of denominations
such as “yottabytes” and “zettabytes”.
While its purpose has not been officially stated, it is widely speculated that the
facility will be home to oceans of data gathered through various
telecommunications and internet surveillance efforts.
The world’s largest internet retailer
utilizes 450,000 servers in
7 locations around the world.
Around 40,000 are dedicated to
Amazon web services.
Microsoft’s Chicago and Dublin data centers are 700,000
square feet and 550,000 square feet respectively.
Chicago is comprised of 40 ft shipping
containers each with 2k servers requir-ing
8.5 million gallons of cooling fluid
for a capacity of 224,380 servers.
Dublin is considered the more environmentally
friendly of the two utilizing less than 1% of water
that traditional data centers use. Amazingly,
Microsoft Dublin does not use any cooling towers.
Also making the list are two of MS’s data centers in
Washington and San Antonio each taking up 470,000
square ft. and backed by hydroelectric power with 8
million gallons of water channelized through a
state-of-the-art recycling system.
TDC is dedicated to cloud and networking services while also used for colocation,
managed hosting and data storage.
Presiding over 1M square ft in
Bangalore India, Tulip is the world’s 3rd
largest data center spanning over 4
cities and producing up to a hundred
megawatts of electricity
One of the world’s most revered technology companies,
Apple processes around 2 billion iMessages per
day among it’s 250 million iCloud users via tens
of millions of Macs and an installed base of 500
million iOS devices.
Apple is almost exclusively reliant on
renewable energy and lays claim to the largest
private client of solar array installations.
Facebook processes 2.4B pieces of content and 500TB of
data each day.
renewable energy.
Phoenix, AZ
Miami, Florida
This 750,000 sq feet facility was constructed in
2001 and is a centralized infrastructure for over
183 networks.
Virginia
Scheduled to be completed in 2014,
AC7 is powered by 41.6 megawatts
of electricity with baseline power per
room at 1.486 MW.
Contains 28 large computer rooms
with each data hall accommodating
approximately 378 cabinets.
When first built, it was
originally used by a
government organization.
This 990,000 sq feet facility was
leased out to a telecom company
for IT operations.
Supported by 80 megawatts
of power capacity and is
looking at an investment
of $150 million
®
This 5 years old, 2.2M sq ft Nevada-based data center
resides in the Nevada desert and with virtually no risk
of natural disaster. It can hold 7k cabinets of servers
SwitchNAP is a group of seven NAPs
utilizing the switch wattage density modular
design (WDMD), allowing complete control
over the data center’s equipment.
SuperNAP 7 also makes the list powering 250 MW
of electricity through its 470,000 sq ft facility.
Las Vegas, NV
Rounding out the NAP category is NAP of the
Americas, a 750k sq ft Tier-IV facility with N+2
power cooled by 2000 tons of chilled water.
Utilizes 8.5 million gallons
of cooling fluid per year
World class tenants include:
Contains 130 properties
for a total of 23.9m rentable space with
2.8M sq. ft. held for development.
Chicago, IL
World’s Largest
Data Centers