May 30, 2022
During a special address at ISC today, general manager and vice president of Accelerated Computing at Nvidia, Ian Buck, shared promising news for the future of Read more…
June 22, 2021
Making machine learning easier to use is all the rage in enterprise computing as more and more businesses are finding out that adopting and integrating AI is harder to do than they first anticipated. HPE, like other large technology vendors, has been hearing that message from customers and in response, has acquired Determined AI, a San Francisco... Read more…
April 14, 2021
Deep learning (DL) applications have unique architectural characteristics and efficiency requirements. Hence, the choice of computing system has a profound impa Read more…
July 27, 2020
Recurrent neural networks (RNNs) have shown phenomenal success in several sequence learning tasks such as machine translation, language processing, image captio Read more…
June 22, 2020
Nvidia unveiled its Selene AI supercomputer today in tandem with the updated listing of world’s fastest computers. Nvidia also introduced the PCIe form factor of the Ampere-based A100 GPU. Nvidia’s new internal AI supercomputer, Selene, joins the upper echelon of the 55th Top500’s ranks and breaks an energy-efficiency... Read more…
May 27, 2020
IBM researchers have taken another step towards making in-memory computing based on phase change (PCM) memory devices a reality. Papers in Nature and Frontiers Read more…
March 25, 2020
Chip designers are drawing on new cloud resources along with conventional electronic design automation (EDA) tools to accelerate IC templates from tape-out to c Read more…
February 26, 2020
Deep learning accelerators based on chip architectures coupled with high-bandwidth memory are emerging to enable near real-time processing of machine learning a 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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