June 26, 2024
It’s a truism of data analytics: when it comes to data, more is generally better. But the explosion of AI-powered large language models (LLMs) like ChatGPT an Read more…
May 23, 2023
The University of California at Berkeley has announced it will establish a new college on its campus for the first time in over 50 years. UC Berkeley’s Colleg Read more…
December 16, 2020
A research effort built around an automation platform that connects data and analytics applications will focus on advancing the use of AI and machine learning i Read more…
October 10, 2019
Kuleana is a uniquely Hawaiian value and practice which embodies responsibility to self, community, and the ‘aina' (land). At Chaminade University, a federall Read more…
September 12, 2019
High-performance computing (HPC) for research is notorious for having steep barriers to entry. For this reason, high-tech disciplines were early adopters, have Read more…
May 13, 2019
A stock trading backtesting algorithm used by hedge funds to simulate trading variants has received a massive, GPU-based performance boost, according to Nvidia, Read more…
December 11, 2018
IBM and Nvidia today announced a new turnkey AI solution that combines IBM Spectrum Scale scale-out file storage with Nvidia’s GPU-based DGX-1 AI server to pr Read more…
October 11, 2018
Oracle is collaborating with Nvidia to bring the GPU leader’s unified AI and HPC platform to the public cloud for accelerating analytics and machine learning workloads. The move makes Oracle the first public cloud vendor to support Nvidia’s HGX-2 platform, the partners said this week. 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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