September 8, 2022
CATALOG, which was founded in 2016 by MIT researchers, pitches itself as “building the world’s first DNA-based platform for massive digital data storage and Read more…
December 11, 2021
For decades, researchers have worked toward scalable data storage in DNA’s four nucleotides (A, T, G and C). The technology, once mastered, would yield millio Read more…
April 5, 2021
Tape storage has dominated high-volume data storage for many decades, and with data production continuing to grow exponentially, researchers are eager to find a Read more…
September 11, 2020
You've heard the saying "flash is the new disk and disk is the new tape," which traces its origins back to Jim Gray*. But what if DNA-based data storage could o Read more…
July 15, 2020
Even as storage density reaches new heights, many researchers have their eyes set on a paradigm shift in high-density information storage: storing data in the f Read more…
January 21, 2020
DNA-based storage, which involves storing binary code in the four nucleotides that constitute DNA, has been a moonshot for high-density data storage since the 1960s. Since the first successful experiments in the 1980s, researchers have made a series of major strides toward implementing DNA-based storage at scale, such as improving write times and storage density and enabling easier file identification and extraction. Now, a new $25 million... Read more…
September 20, 2019
Storing digital data inside of DNA has been an idea since the 1960s, and recent developments have addressed some of the obstacles facing its scaled implementation. Now, researchers at the Technion-Israel Institute of Technology and the... Read more…
July 18, 2017
From abacus to pencil and paper to semiconductor chips, the technology of computing has always been an ever-changing target. The human brain is probably the com 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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