August 16, 2023
The default method for accelerating Deep Learning projects is increasing the size of a GPU cluster. However, the cost is increasingly prohibitive. According to� Read more…
October 27, 2016
Building on its experience in operating world-leading computer systems—including the IBM Blue Gene L series’ New York Blue, which ranked fifth among the wor Read more…
February 26, 2016
Researchers from the University of Colorado Boulder (CU-Boulder), Colorado State University (CSU) and the Rocky Mountain Advanced Computing Consortium will soon have access to a half-petaflop heterogeneous Dell PowerEdge C-series supercomputer. Read more…
July 23, 2015
While the shifting architectural landscape of elite supercomputing gets a lot of the spotlight especially around TOP500 time, cluster computing has grown to c Read more…
May 8, 2015
In the previous Cluster Lifecycle Management column, I discussed the best practices for proper care and feeding of your cluster to keep it running smoothly on a Read more…
March 31, 2014
The High Performance Computing Collaboratory (HPC²) at Mississippi State University is boosting its high-performance computing capabilities with the installati Read more…
November 25, 2013
Cray’s expert storage solutions are now available for popular x86 Linux clusters. Cray Cluster Connect (C3) offers a complete Lustre storage solution for x8 Read more…
September 26, 2013
XSEDE is announcing a new program – the campus bridging initiative – that aims to unify its diverse resources, making it easier for researchers to go back and forth between local clusters and national supercomputing resources. 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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