November 12, 2012
DULLES, Va. & FREMONT, Calif., Nov. 12 – AOL, Inc. and Penguin Computing today announced that AOL has successfully moved its first outside Micro Data Center (MDC) into production. The system currently handles about 20% of the traffic to AOL’s main website www.aol.com.
AOL’s MDCs are small ‘Data Centers in a Box’. There are two MDC versions: one for outdoor, one for indoor use. Each MDC unit is self sufficient and includes high density servers and storage nodes from Penguin Computing’s Relion product line as well as PDU’s, switches, load balancers and external hookups for power and networking. The outdoor MDC is housed in a ruggedized 42U rack-size enclosure provided by Elliptical Mobile Solutions that is NEMA 3 rated and protects against fire, water, humidity and vandalism. It is cooled by a direct expansion cooling module integrated with the enclosure, and has an option for using air-side economization. The indoor MDC is housed in a 37U rack-size enclosure from AST Modular. It uses ventilation fans installed as part of the enclosure to keep the hardware within the manufacturer's acceptable temperature range. The indoor MDC was designed for deployments in loosely controlled environments, as for example warehouse spaces.
“We are honored that AOL chose Penguin Computing as a partner for implementing a revolutionary concept for the deployment of data center capacity,” says Charles Wuischpard, CEO Penguin Computing. “With our long standing experience in enterprise computing and our track record as a cloud provider we understand the challenges of rolling out new platforms and architectures. We are very happy that we could help AOL turn the vision of MDCs into reality.”
The driving force behind AOL’s use of the MDC concept is its inherent flexibility and the potential for realizing very large cost savings. Compute capacity can be quickly deployed anywhere, regardless of temperature and humidity settings. Moreover, capacity can be deployed in small increments without the up-front expense associated with the addition of data center capacity. Servers in local vicinity to content consumers can reduce AOL’s reliance on commercial content delivery networks. Complementing the MDC concept is AOL’s internal cloud platform and automation layer that enables quick and easy remote deployment of services.
“MDCs are a game changer. They will enable AOL to deploy geo-distributed capacity at a very low cost point in terms of upfront capital and ongoing operational expense. As we enter new markets and constantly grow our localized offerings MDCs will become an increasingly important foundation for our product offerings,” says Mike Manos, CTO of AOL Services. “We expect that MDCs will enable us to roll out five times the amount of total compute capacity in less than 10% of the cost and physical footprint of a traditional data center based deployment. With a deep level of technical expertise and great dedication and commitment to our success Penguin Computing has been instrumental in reaching this great milestone for AOL.”
Penguin Computing has worked closely with AOL to develop and deploy both the outdoor MDC as well as an indoor MDC for non-data center deployments. AOL’s indoor MDC will be on display at SC’12 in Penguin Computing’s booth 1217. Jay Moran, Distinguished Engineer for AOL Services Technologies and Scott Killian, Head of AOL Data Center Services will be delivering a presentation on AOL’s MDCs at Penguin Computing’s on Tuesday, November 13 at 11:00AM and 2:00PM.
About AOL
AOL Inc. is a brand company, committed to continuously innovating, growing, and investing in brands and experiences that inform, entertain, and connect the world. The home of a world-class collection of premium brands, AOL creates original content that engages audiences on a local and global scale. We help marketers connect with these audiences through effective and engaging digital advertising solutions.
About Penguin Computing
For well over a decade Penguin Computing has been dedicated to delivering complete, integrated Enterprise and High Performance Computing (HPC) solutions that are innovative, cost effective, and easy to use. Penguin offers a complete end-to-end portfolio of products and solutions including workstations, rackmount servers, custom server designs, power efficient rack solutions and turnkey clusters. Penguin also offers the Scyld suite of software products for efficient provisioning and infrastructure monitoring. Additionally, Penguin Computing on Demand (POD), is a public HPC cloud that is available instantly and as needed. Penguin counts some of the world’s most demanding organizations as its customers, including AOL, Yelp, Caterpillar, Life Technologies, Dolby, Lockheed Martin and the US Air Force.
-----
Source: Penguin Computing
In quieter times, sounding the bell of funding big science with big systems tends to resonate further than when ears are already burning with sour economic and national security news. For exascale's future, however, the time could be ripe to instill some sense of urgency....
Read more...
In a recent solicitation, the NSF laid out needs for furthering its scientific and engineering infrastructure with new tools to go beyond top performance, Having already delivered systems like Stampede and Blue Waters, they're turning an eye to solving data-intensive challenges. We spoke with the agency's Irene Qualters and Barry Schneider about..
Read more...
Large-scale, worldwide scientific initiatives rely on some cloud-based system to both coordinate efforts and manage computational efforts at peak times that cannot be contained within the combined in-house HPC resources. Last week at Google I/O, Brookhaven National Lab’s Sergey Panitkin discussed the role of the Google Compute Engine in providing computational support to ATLAS, a detector of high-energy particles at the Large Hadron Collider (LHC).
Read more...
May 23, 2013 |
The study of climate change is one of those scientific problems where it is almost essential to model the entire Earth to attain accurate results and make worthwhile predictions. In an attempt to make climate science more accessible to smaller research facilities, NASA introduced what they call ‘Climate in a Box,’ a system they note acts as a desktop supercomputer.
Read more...
May 22, 2013 |
At some point in the not-too-distant future, building powerful, miniature computing systems will be considered a hobby for high schoolers, just as robotics or even Lego-building are today. That could be made possible through recent advancements made with the Raspberry Pi computers.
Read more...
May 16, 2013 |
When it comes to cloud, long distances mean unacceptably high latencies. Researchers from the University of Bonn in Germany examined those latency issues of doing CFD modeling in the cloud by utilizing a common CFD and its utilization in HPC instance types including both CPU and GPU cores of Amazon EC2.
Read more...
May 15, 2013 |
Supercomputers at the Department of Energy’s National Energy Research Scientific Computing Center (NERSC) have worked on important computational problems such as collapse of the atomic state, the optimization of chemical catalysts, and now modeling popping bubbles.
Read more...
05/10/2013 | Cleversafe, Cray, DDN, NetApp, & Panasas | From Wall Street to Hollywood, drug discovery to homeland security, companies and organizations of all sizes and stripes are coming face to face with the challenges – and opportunities – afforded by Big Data. Before anyone can utilize these extraordinary data repositories, however, they must first harness and manage their data stores, and do so utilizing technologies that underscore affordability, security, and scalability.
04/15/2013 | Bull | “50% of HPC users say their largest jobs scale to 120 cores or less.” How about yours? Are your codes ready to take advantage of today’s and tomorrow’s ultra-parallel HPC systems? Download this White Paper by Analysts Intersect360 Research to see what Bull and Intel’s Center for Excellence in Parallel Programming can do for your codes.
In this demonstration of SGI DMF ZeroWatt disk solution, Dr. Eng Lim Goh, SGI CTO, discusses a function of SGI DMF software to reduce costs and power consumption in an exascale (Big Data) storage datacenter.
The Cray CS300-AC cluster supercomputer offers energy efficient, air-cooled design based on modular, industry-standard platforms featuring the latest processor and network technologies and a wide range of datacenter cooling requirements.