May 25, 2023
As HPC and AI continue to rapidly advance, the alluring vision of nuclear fusion and its endless zero-carbon, low-radioactivity energy is the sparkle in many a Read more…
November 14, 2022
Over the past months, Nvidia has put a spotlight on its OVX hardware – purpose-built systems aimed at its Omniverse digital twins platform. Now, at SC22, Nvid Read more…
April 10, 2013
Randall J. Leveque, Professor of Applied Mathematics at the University of Washington in Seattle, will be conducting a free course that brings the principles of parallelism in high performance computers to those in scientific computing. Read more…
July 31, 2012
Traditionally running scientific workloads in AWS provides a diverse toolkit that allows researchers to easily sling data around different time zones, regions, or even globally once the data is inside of the infrastructure sandbox. However, getting data in and out of AWS has historically been more of a challenge. Cycle Computing's Andrew Kaczorek and Dan Harris offer some helpful tips on optimizing ingress and egress transfers. Read more…
July 18, 2011
Software engineering is still something that gets too little attention from the technical computing community, much to the detriment of the scientists and engineers writing the applications. Greg Wilson has been on a mission to remedy that, mainly through his efforts at Software Carpentry, where he is the project lead. HPCwire asked Wilson about the progress he's seen over the last several years and what remains to be done. Read more…
October 19, 2010
Last week at their eScience Workshop at the University of California, Berkeley Microsoft Research announced two key technological progress points related to their Azure cloud. The advancements are currently serving researchers in ecological studies as well as biology and further demonstrate the potential of their cloud offering in further scientific computing projects. Read more…
July 13, 2010
The announcement this morning that Amazon is offering Cluster Compute Instances for EC2 specifically for the needs of HPC users might just be that long-awaited game-changer when it comes to the viability of scientific computing in the public cloud. While it is fresh from a private beta and the results are promising, only time will tell to what degree users will snatch up this opportunity to have supercomputing power on demand. Read more…
July 9, 2010
Researchers from Berkeley Lab are looking at different options available for scientific computing users to move beyond physical infrastructure, including the possibility of deploying public clouds. A recently-published study of Amazon EC2's handling of data from the Nearby Supernova Factory sheds light on putting large-scale scientific computing into the cloud in practice and in theory. Read more…
In this era, expansion in digital infrastructure capacity is inevitable. Parallel to this, climate change consciousness is also rising, making sustainability a mandatory part of the organization’s functioning. As computing workloads such as AI and HPC continue to surge, so does the energy consumption, posing environmental woes. IT departments within organizations have a crucial role in combating this challenge. They can significantly drive sustainable practices by influencing newer technologies and process adoption that aid in mitigating the effects of climate change.
While buying more sustainable IT solutions is an option, partnering with IT solutions providers, such and Lenovo and Intel, who are committed to sustainability and aiding customers in executing sustainability strategies is likely to be more impactful.
Learn how Lenovo and Intel, through their partnership, are strongly positioned to address this need with their innovations driving energy efficiency and environmental stewardship.
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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