Cooling the Modern Data Center

June 9, 2014

The art of data center cooling is one of continuous improvement that has seen interesting innovation over the past 5 years or so. Even with improvements in the technology, the general principles are consistent; use chilled water to cool air and then strategically move this newly chilled air to hot spots within the data center. This process involves expensive chilling and air movement techniques that, on average, add up to 50% of traditional data center operating costs. The question is, if liquid is 3,500 times better at storing and transferring heat than air, why are we not moving liquid closer to the heat generating components? Would a close-coupled liquid cooling approach not remove the difficult and inefficient task of porting air to hot spots?

The Liquid Touch

Direct contact liquid cooling (DCLC) uses the exceptional thermal conductivity of liquid to provide dense, concentrated cooling to targeted small surface areas. By using DCLC, the dependence on fans and expensive air conditioning and air handling systems is drastically reduced. This enables over 45kW densities per rack using warm-water cooling, reduced power use and access to significantly higher performance potential.

Why choose liquid cooling?

  • Liquid is controllable – Liquid cooling can be channeled to the specific areas in a server that produce heat. Applying cooling directly to critical components such as processors and memory drives maximum efficiency, density and performance.
  • Liquid lowers operating costs –Operating expenses are decreased by 25%-30% due to reduced reliance on expensive traditional cooling infrastructure such as chillers, CRAC’s, CRAH’s, and raised-floor environments. Furthermore, the increased power density allowed by warm-water DCLC reduces the data center footprint and all associated costs (building, racks, cabling, etc.) (The average ROI for DCLC is less than six months.
  • Increased rack utilization – Warm-water DCLC allows for a meaningful improvement in rack utilization. By eliminating traditional air cooling limitations such as hot spots a rack can be used to its capacity.
  • Flexibility – DCLC design accommodates a variety of server design, rack architecture and data center environments, making for a pain-free upgrade. DCLC allows data center managers to transition to new liquid cooled solutions in stages – adding units to match the addition of new HPC systems and avoiding the costs associated with deploying unneeded cooling infrastructure.

Reliable Technology

CoolIT’s Rack DCLC™ technology is a cost effective, scalable and flexible DCLCsolution. The Rack DCLC™ family of solutions supports all the cooling requirements of the modern, ultra-high density HPC data center crammed with blade and other multinode chassis servers.

  • Density – Rack DCLC allows for dramatic increases in server densities
  • Efficiency – Rack DCLC provides a significant reduction in total data center energy used and allows for meaningful improvement in PUE
  • Performance – Rack DCLC facilitates the use of many high power processors in less space.

CoolIT Rack DCLC CoolIT’s Rack DCLC solutions are available in two heat exchange configurations. The Rack DCLC CHx™ line of products uses facility water to deliver the ultimate package in efficiency, density and performance for today’s HPC data centers. The Rack DCLC AHx™ solutions use a liquid circuit local to a rack to provide peak performance and density in a standard data center without the need for facility water supply.

At the heart of both configurations are redundant, centralized pumping assemblies that ensure reliable cooling performance in a flexible design that supports a wide variety of server modules.

 
 

The bottom line:

  • An 80% increase in rack capacity
  • Increased CPU/GPU density with higher performance per core
  • Over 25% decrease in CAPEX
  • Over 25% decrease in OPEX
  • Enables 40+kW per rack with warm water cooling
  • Reduces or eliminates the need for chillers,CRAC’s, CRAH’s and raise-floor

 

Rack DCLC at Work

CoolIT’s Rack DCLC technology has been put to work in a variety of collaborative efforts.

Cool IT Rack DCLC at WorkCoolIT recently teamed up with Intel and Supermicro to create an innovative HPC cluster that ranked 400 on the Top500 list of supercomputers and an impressive #41 on the Green 500 list. The cluster uses CoolIT’s Rack DCLC AHx solution and Supermicro’s ultra-dense FatTwin server platform, featuring 9936 cores with a peak performance of 131.2 teraflops. The system consumed a total of 74.25kW of power even though each Supermicro FatTwin node featured dual Intel Xeon processors and three Intel Xeon Phi coprocessors that were generating over 1,000 watts of heat per node.

A collaboration between CoolIT Systems and the University of Leeds has been set up to analyse the influence of direct liquid cooling on demand within cloud based workload algorithms. The 45U Rack DCLC has been installed at the university to enhance their research into energy efficient aspects of data centers, by combining the expertise from two disciplines to understand the intersection of cloud scheduling algorithms with a fine controlled cooling on demand methodology.

CoolIT supports a wide variety of private, government, and academic organizations with their various compute initiatives. CoolIT has established itself as an experienced innovator in developing safe and reliable DCLC solutions for today’s most demanding data center users.

 

CoolIT Systems Data Center

Subscribe to HPCwire's Weekly Update!

Be the most informed person in the room! Stay ahead of the tech trends with industy updates delivered to you every week!

Thomas Sterling on CREST and Academia’s Role in HPC Research

February 27, 2017

The US advances in high performance computing over many decades have been a product of the combined engagement of research centers in industry, government labs, and academia. Read more…

By Thomas Sterling, Indiana University

Advancing Modular Supercomputing with DEEP and DEEP-ER Architectures

February 24, 2017

Knowing that the jump to exascale will require novel architectural approaches capable of delivering dramatic efficiency and performance gains, researchers around the world are hard at work on next-generation HPC systems. Read more…

By Sean Thielen

Weekly Twitter Roundup (Feb. 23, 2017)

February 23, 2017

Here at HPCwire, we aim to keep the HPC community apprised of the most relevant and interesting news items that get tweeted throughout the week. Read more…

By Thomas Ayres

HPE Server Shows Low Latency on STAC-N1 Test

February 22, 2017

The performance of trade and match servers can be a critical differentiator for financial trading houses. Read more…

By John Russell

HPE Extreme Performance Solutions

Manufacturers Reaping the Benefits of Remote Visualization

Today’s manufacturers are operating in an ever-changing atmosphere, and finding new ways to boost productivity has never been more vital.

This is why manufacturers are ramping up their investments in high performance computing (HPC), a trend which has helped give rise to the “connected factory” and Industrial Internet of Things (IIoT) concepts that are proliferating throughout the industry today. Read more…

HPC Financial Update (Feb. 2017)

February 22, 2017

In this recurring feature, we’ll provide you with financial highlights from companies in the HPC industry. Check back in regularly for an updated list with the most pertinent fiscal information. Read more…

By Thomas Ayres

Rethinking HPC Platforms for ‘Second Gen’ Applications

February 22, 2017

Just what constitutes HPC and how best to support it is a keen topic currently. Read more…

By John Russell

HPC Technique Propels Deep Learning at Scale

February 21, 2017

Researchers from Baidu’s Silicon Valley AI Lab (SVAIL) have adapted a well-known HPC communication technique to boost the speed and scale of their neural network training and now they are sharing their implementation with the larger deep learning community. Read more…

By Tiffany Trader

IDC: Will the Real Exascale Race Please Stand Up?

February 21, 2017

So the exascale race is on. And lots of organizations are in the pack. Government announcements from the US, China, India, Japan, and the EU indicate that they are working hard to make it happen – some sooner, some later. Read more…

By Bob Sorensen, IDC

Thomas Sterling on CREST and Academia’s Role in HPC Research

February 27, 2017

The US advances in high performance computing over many decades have been a product of the combined engagement of research centers in industry, government labs, and academia. Read more…

By Thomas Sterling, Indiana University

Advancing Modular Supercomputing with DEEP and DEEP-ER Architectures

February 24, 2017

Knowing that the jump to exascale will require novel architectural approaches capable of delivering dramatic efficiency and performance gains, researchers around the world are hard at work on next-generation HPC systems. Read more…

By Sean Thielen

HPC Technique Propels Deep Learning at Scale

February 21, 2017

Researchers from Baidu’s Silicon Valley AI Lab (SVAIL) have adapted a well-known HPC communication technique to boost the speed and scale of their neural network training and now they are sharing their implementation with the larger deep learning community. Read more…

By Tiffany Trader

IDC: Will the Real Exascale Race Please Stand Up?

February 21, 2017

So the exascale race is on. And lots of organizations are in the pack. Government announcements from the US, China, India, Japan, and the EU indicate that they are working hard to make it happen – some sooner, some later. Read more…

By Bob Sorensen, IDC

TSUBAME3.0 Points to Future HPE Pascal-NVLink-OPA Server

February 17, 2017

Since our initial coverage of the TSUBAME3.0 supercomputer yesterday, more details have come to light on this innovative project. Of particular interest is a new board design for NVLink-equipped Pascal P100 GPUs that will create another entrant to the space currently occupied by Nvidia's DGX-1 system, IBM's "Minsky" platform and the Supermicro SuperServer (1028GQ-TXR). Read more…

By Tiffany Trader

Tokyo Tech’s TSUBAME3.0 Will Be First HPE-SGI Super

February 16, 2017

In a press event Friday afternoon local time in Japan, Tokyo Institute of Technology (Tokyo Tech) announced its plans for the TSUBAME3.0 supercomputer, which will be Japan’s “fastest AI supercomputer,” Read more…

By Tiffany Trader

Drug Developers Use Google Cloud HPC in the Fight Against ALS

February 16, 2017

Within the haystack of a lethal disease such as ALS (amyotrophic lateral sclerosis / Lou Gehrig’s Disease) there exists, somewhere, the needle that will pierce this therapy-resistant affliction. Read more…

By Doug Black

Azure Edges AWS in Linpack Benchmark Study

February 15, 2017

The “when will clouds be ready for HPC” question has ebbed and flowed for years. Read more…

By John Russell

For IBM/OpenPOWER: Success in 2017 = (Volume) Sales

January 11, 2017

To a large degree IBM and the OpenPOWER Foundation have done what they said they would – assembling a substantial and growing ecosystem and bringing Power-based products to market, all in about three years. Read more…

By John Russell

US, China Vie for Supercomputing Supremacy

November 14, 2016

The 48th edition of the TOP500 list is fresh off the presses and while there is no new number one system, as previously teased by China, there are a number of notable entrants from the US and around the world and significant trends to report on. Read more…

By Tiffany Trader

Lighting up Aurora: Behind the Scenes at the Creation of the DOE’s Upcoming 200 Petaflops Supercomputer

December 1, 2016

In April 2015, U.S. Department of Energy Undersecretary Franklin Orr announced that Intel would be the prime contractor for Aurora: Read more…

By Jan Rowell

D-Wave SC16 Update: What’s Bo Ewald Saying These Days

November 18, 2016

Tucked in a back section of the SC16 exhibit hall, quantum computing pioneer D-Wave has been talking up its new 2000-qubit processor announced in September. Forget for a moment the criticism sometimes aimed at D-Wave. This small Canadian company has sold several machines including, for example, ones to Lockheed and NASA, and has worked with Google on mapping machine learning problems to quantum computing. In July Los Alamos National Laboratory took possession of a 1000-quibit D-Wave 2X system that LANL ordered a year ago around the time of SC15. Read more…

By John Russell

Enlisting Deep Learning in the War on Cancer

December 7, 2016

Sometime in Q2 2017 the first ‘results’ of the Joint Design of Advanced Computing Solutions for Cancer (JDACS4C) will become publicly available according to Rick Stevens. He leads one of three JDACS4C pilot projects pressing deep learning (DL) into service in the War on Cancer. Read more…

By John Russell

IBM Wants to be “Red Hat” of Deep Learning

January 26, 2017

IBM today announced the addition of TensorFlow and Chainer deep learning frameworks to its PowerAI suite of deep learning tools, which already includes popular offerings such as Caffe, Theano, and Torch. Read more…

By John Russell

Tokyo Tech’s TSUBAME3.0 Will Be First HPE-SGI Super

February 16, 2017

In a press event Friday afternoon local time in Japan, Tokyo Institute of Technology (Tokyo Tech) announced its plans for the TSUBAME3.0 supercomputer, which will be Japan’s “fastest AI supercomputer,” Read more…

By Tiffany Trader

HPC Startup Advances Auto-Parallelization’s Promise

January 23, 2017

The shift from single core to multicore hardware has made finding parallelism in codes more important than ever, but that hasn’t made the task of parallel programming any easier. Read more…

By Tiffany Trader

Leading Solution Providers

CPU Benchmarking: Haswell Versus POWER8

June 2, 2015

With OpenPOWER activity ramping up and IBM’s prominent role in the upcoming DOE machines Summit and Sierra, it’s a good time to look at how the IBM POWER CPU stacks up against the x86 Xeon Haswell CPU from Intel. Read more…

By Tiffany Trader

BioTeam’s Berman Charts 2017 HPC Trends in Life Sciences

January 4, 2017

Twenty years ago high performance computing was nearly absent from life sciences. Today it’s used throughout life sciences and biomedical research. Genomics and the data deluge from modern lab instruments are the main drivers, but so is the longer-term desire to perform predictive simulation in support of Precision Medicine (PM). There’s even a specialized life sciences supercomputer, ‘Anton’ from D.E. Shaw Research, and the Pittsburgh Supercomputing Center is standing up its second Anton 2 and actively soliciting project proposals. There’s a lot going on. Read more…

By John Russell

Nvidia Sees Bright Future for AI Supercomputing

November 23, 2016

Graphics chipmaker Nvidia made a strong showing at SC16 in Salt Lake City last week. Read more…

By Tiffany Trader

TSUBAME3.0 Points to Future HPE Pascal-NVLink-OPA Server

February 17, 2017

Since our initial coverage of the TSUBAME3.0 supercomputer yesterday, more details have come to light on this innovative project. Of particular interest is a new board design for NVLink-equipped Pascal P100 GPUs that will create another entrant to the space currently occupied by Nvidia's DGX-1 system, IBM's "Minsky" platform and the Supermicro SuperServer (1028GQ-TXR). Read more…

By Tiffany Trader

IDG to Be Bought by Chinese Investors; IDC to Spin Out HPC Group

January 19, 2017

US-based publishing and investment firm International Data Group, Inc. (IDG) will be acquired by a pair of Chinese investors, China Oceanwide Holdings Group Co., Ltd. Read more…

By Tiffany Trader

Dell Knights Landing Machine Sets New STAC Records

November 2, 2016

The Securities Technology Analysis Center, commonly known as STAC, has released a new report characterizing the performance of the Knight Landing-based Dell PowerEdge C6320p server on the STAC-A2 benchmarking suite, widely used by the financial services industry to test and evaluate computing platforms. The Dell machine has set new records for both the baseline Greeks benchmark and the large Greeks benchmark. Read more…

By Tiffany Trader

Is Liquid Cooling Ready to Go Mainstream?

February 13, 2017

Lost in the frenzy of SC16 was a substantial rise in the number of vendors showing server oriented liquid cooling technologies. Three decades ago liquid cooling was pretty much the exclusive realm of the Cray-2 and IBM mainframe class products. That’s changing. We are now seeing an emergence of x86 class server products with exotic plumbing technology ranging from Direct-to-Chip to servers and storage completely immersed in a dielectric fluid. Read more…

By Steve Campbell

What Knights Landing Is Not

June 18, 2016

As we get ready to launch the newest member of the Intel Xeon Phi family, code named Knights Landing, it is natural that there be some questions and potentially some confusion. Read more…

By James Reinders, Intel

  • arrow
  • Click Here for More Headlines
  • arrow
Share This