April 21, 2017
On Thursday, Google announced that MIT math professor and computational number theorist Andrew V. Sutherland had set a record for the largest Google Compute Engine (GCE) job. Sutherland ran the massive mathematics workload on 220,000 GCE cores using preemptible virtual machine instances. Read more…
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 Read more…
February 4, 2017
The waiting is the hardest part. When design engineers need to run complex simulations, too often they find that the HPC resources required for those workloa Read more…
November 15, 2015
Not surprisingly Tim Carroll is unambiguous about whether HPC is ready for the cloud. It absolutely is says Carroll. He is, after all, VP of Sales and Ecosystem Read more…
September 10, 2015
This week HPC cloud software specialist Cycle Computing announced that its full suite of products can now be used to spin up clusters on Google’s cloud platf Read more…
November 11, 2014
Cycle Computing CEO Jason Stowe revealed today what is being called the largest Fortune 500 cloud cluster run, performed by HGST, a Western Digital company. Read more…
July 10, 2014
In order to develop a new drug the average pharmaceutical company spends about one billion dollars over ten years. This is an untenable situation for those with Read more…
January 15, 2014
“The number one problem we face as humanity is getting people to think outside of the boxes they bought,” says Cycle Computing CEO, Jason Stowe. His comp Read more…
As Federal agencies navigate an increasingly complex and data-driven world, learning how to get the most out of high-performance computing (HPC), artificial intelligence (AI), and machine learning (ML) technologies is imperative to their mission. These technologies can significantly improve efficiency and effectiveness and drive innovation to serve citizens' needs better. Implementing HPC and AI solutions in government can bring challenges and pain points like fragmented datasets, computational hurdles when training ML models, and ethical implications of AI-driven decision-making. Still, CTG Federal, Dell Technologies, and NVIDIA unite to unlock new possibilities and seamlessly integrate HPC capabilities into existing enterprise architectures. This integration empowers organizations to glean actionable insights, improve decision-making, and gain a competitive edge across various domains, from supply chain optimization to financial modeling and beyond.
Data centers are experiencing increasing power consumption, space constraints and cooling demands due to the unprecedented computing power required by today’s chips and servers. HVAC cooling systems consume approximately 40% of a data center’s electricity. These systems traditionally use air conditioning, air handling and fans to cool the data center facility and IT equipment, ultimately resulting in high energy consumption and high carbon emissions. Data centers are moving to direct liquid cooled (DLC) systems to improve cooling efficiency thus lowering their PUE, operating expenses (OPEX) and carbon footprint.
This paper describes how CoolIT Systems (CoolIT) meets the need for improved energy efficiency in data centers and includes case studies that show how CoolIT’s DLC solutions improve energy efficiency, increase rack density, lower OPEX, and enable sustainability programs. CoolIT is the global market and innovation leader in scalable DLC solutions for the world’s most demanding computing environments. CoolIT’s end-to-end solutions meet the rising demand in cooling and the rising demand for energy efficiency.
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