March 21, 2018
HPE today announced the latest rev of its HPE Apollo 6500 platform, Gen10, along with a spate of new AI-oriented offerings designed to help customers optimize a Read more…
October 26, 2017
Driven by a surging demand for HPC and AI compute power, the delay between the introduction of high-end GPUs and adoption by cloud vendors is shrinking. With th Read more…
September 14, 2017
PGI today announced a fairly lengthy list of new features to version 17.7 of its 2017 Compilers and Tools. The centerpiece of the additions is support for the T Read more…
September 7, 2017
The Center for Clinical Data Science (CCDS), Boston, is at the confluence of major technology trends driving the healthcare industry: AI-based diagnostics of la Read more…
May 29, 2017
In March, Nvidia revealed blueprints for a new open source Tesla GPU-based accelerator – HGX-1 – developed for clouds with Microsoft under its Project Olym Read more…
May 10, 2017
At Nvidia's GPU Technology Conference (GTC17) in San Jose, Calif., this morning, CEO Jensen Huang announced the company's much-anticipated Volta architecture a Read more…
April 2, 2013
With ever-mounting CPU advancements that promise superior performance, the blame for lousy delivery on those chip promises lies squarely on memory. This problem isn’t just a matter of application performance—it’s also a matter of efficiency. This week Micron with partners Intel and others, including Altera, IBM, ARM, Xilinx and others..... Read more…
March 21, 2013
This week at NVIDIA's GPU Technology Conference, the priorities for GPU computing's future, including providing snappy access to high memory bandwidth, were cited as critical to growing user ranks. The energy consumption, data volume and velocity requirements are giving way to new, more efficient and higher bandwidth approaches, including Volta, which was revealed during the keynote event. 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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