Big Data. Big Decisions
InformationWeek
Special Coverage Series


NSA Building $896.5 Million Supercomputing Center

Exclusive: The spy agency aims to complete the powerful, energy efficient, secure High Performance Computing Center at NSA headquarters in Fort Meade, Md., by December 2015.


Slideshow: Government's 10 Most Powerful Supercomputers
(click for larger image and for full slideshow)
The National Security Agency is designing a new $895.6 million supercomputing center that will be constructed at its Fort Meade, Md., headquarters over the next several years, Department of Defense budget documents reveal.

The NSA's new High Performance Computing Center, slated to be complete by December 2015, will be designed to with energy efficiency, security, and lots of "state-of-the-art" computing horsepower in mind, according to unclassified specs found in the documents, which detail numerous military construction project budgets, including several NSA efforts.

NSA has long been a supercomputing powerhouse. The secretive signals intelligence agency purchased the first Cray supercomputer in 1976, and even keeps two Cray supercomputers on display at its National Cryptologic Museum alongside spy gadgets such as centuries-old code books and a working German Enigma machine from World War II.

The specs for the new supercomputing center read much like the NSA is building a massive data center, with typical requirements for raised flooring, chilled water systems, fire suppression, and alarms. Power requirements are 60 megawatts, equivalent to the power requirements of Microsoft's recently completed 700,000 square foot data center in Chicago, which itself is one of the largest ever constructed.

Despite the power requirements, the facility will be built as efficiently as possible, with the goal of attaining a LEED Silver certification by conserving water, energy, and materials.

The High Performance Computing Center also will include tens of millions of dollars in security features, such as an estimated $15.1 million in building security and $21.7 million on perimeter control. The security features will include a vehicle cargo inspection facility, a visitor control center, card access control, video surveillance, intrusion detection systems, chemical, biological, radiological, and nuclear detection systems, and perimeter fencing, among others.

NSA is requesting $84.7 million for its new High Performance Computing Center in fiscal 2012, including $35 million for planning and design. That will be followed up with a planned $399.9 million in fiscal 2013, and $431 million to complete the center in fiscal 2014.

In addition to the supercomputing center and a few non-tech related construction projects, the budget documents also indicate a $246.4 million 2012 request for NSA's new cybersecurity data center under construction at Camp Williams, Utah and a $68.6 million request for a new generator at NSA's communications intercept site at RAF Menwith Hill in England.

While NSA's total budget remains classified, a few other details on its tech spending can be gleaned from other documents, including a $944 million information assurance request for fiscal 2012, which is 5.5% more than this year's request. Accounting for the difference, according to the request, is a boost in operational spending for "advanced network operations and intrusion analysis."

The cybersecurity request details a number of NSA's planned efforts for 2012, including continuing development of more advanced cryptography for nuclear command and control systems and building partnerships with the IT and communications sectors on mobile applications and cloud security.



Related Reading


More Insights




Currently we allow the following HTML tags in comments:

Single tags

These tags can be used alone and don't need an ending tag.

<br> Defines a single line break

<hr> Defines a horizontal line

Matching tags

These require an ending tag - e.g. <i>italic text</i>

<a> Defines an anchor

<b> Defines bold text

<big> Defines big text

<blockquote> Defines a long quotation

<caption> Defines a table caption

<cite> Defines a citation

<code> Defines computer code text

<em> Defines emphasized text

<fieldset> Defines a border around elements in a form

<h1> This is heading 1

<h2> This is heading 2

<h3> This is heading 3

<h4> This is heading 4

<h5> This is heading 5

<h6> This is heading 6

<i> Defines italic text

<p> Defines a paragraph

<pre> Defines preformatted text

<q> Defines a short quotation

<samp> Defines sample computer code text

<small> Defines small text

<span> Defines a section in a document

<s> Defines strikethrough text

<strike> Defines strikethrough text

<strong> Defines strong text

<sub> Defines subscripted text

<sup> Defines superscripted text

<u> Defines underlined text

BYTE encourages readers to engage in spirited, healthy debate, including taking us to task. However, BYTE moderates all comments posted to our site, and reserves the right to modify or remove any content that it determines to be derogatory, offensive, inflammatory, vulgar, irrelevant/off-topic, racist or obvious marketing/SPAM. BYTE further reserves the right to disable the profile of any commenter participating in said activities.

Disqus Tips To upload an avatar photo, first complete your Disqus profile. | View the list of supported HTML tags you can use to style comments. | Please read our commenting policy.

Follow InformationWeek

By The Numbers

What Are Your Primary Concerns About Using Big Data Software?

Base: 417 respondents at organizations using or planning to deploy data analytics, BI or statistical analysis software
Data: InformationWeek 2013 Analytics, Business Intelligence and Information Management Survey of 541 business technology professionals, October 2012

What Do You Think?

What's your attitude about SQL analysis on top of Hadoop?
We want fast, standard SQL analysis capabilities on Hadoop ASAP
Hadoop is for unstructured data; SQL is for relational databases
We'll give SQL on Hadoop a try, but relational DBs will remain the mainstay
Given strong SQL support on Hadoop, we'd nix the data warehouse
We're not interested in Hadoop
No opinion



Related Content

From Our Sponsor

Five Big Data Challenges and How to Overcome Them with Visual Analytics

Five Big Data Challenges and How to Overcome Them with Visual Analytics

Business leaders often need a visual snapshot of data to quickly grasp and use it. This paper identifies five challenges in presenting data and how visual analytics can resolve them. Solutions are suggested to overcome the challenges of: speed, data clarity, data quality, displaying meaningful results, and dealing with outliers.

Game-Changing Analytics: How IT Executives Can Use Analytics to Create Innovation and Business Success

Game-Changing Analytics: How IT Executives Can Use Analytics to Create Innovation and Business Success

Today's competitive advantage requires a deeper understanding of your business, your market and your customers. As an IT executive, you can drive that knowledge transformation. In this white paper, learn how to make decisions as a strategic business leader and three steps to begin an analytics initiative within your enterprise.

Data Visualization Techniques: From Basics to Big Data with SAS Visual Analytics

Data Visualization Techniques: From Basics to Big Data with SAS Visual Analytics

High-performance data visualization turns sophisticated analyses into meaningful graphics, leading to faster and smarter decision making. In this white paper, learn how visual analytics can transform big data, with additional features such as real-time functionality, mobile compatibility, robust applications for technical groups and accessibility for nontechnical users.

Big Data: Lessons from the Leaders

Big Data: Lessons from the Leaders

Financial performance, competitive advantage, operational efficiency, strategic decision making - every business goal can extract value from big data, and the time for doubt or inaction has long passed. In this Economist Intelligence Unit report, in-depth interviews with data pioneers reveal the link between the effective use of big data and the bottom line among other results.

Decision-Driven Data Management: A Strategy for Better Decisions with Better Data

Decision-Driven Data Management: A Strategy for Better Decisions with Better Data

Which came first, the data or the decision? This white paper makes the case for having a decision in mind, then tailoring big data's volume, variety and velocity to achieve business results such as overcoming customer dissatisfaction or creating well-informed strategies in real time.

Informationweek Reports

Research: The Big Data Management Challenge

Research: The Big Data Management Challenge

The challenge of big data is real, but most organizations don't differentiate 'big data' from traditional data, and nearly 90% of respondents to our survey use conventional databases as the primary means of handling data. We'll help you understand what constitutes big data (it's not just size) and the numerous management challenges it poses.