May 30, 2024
Consider the GPU. An island of SIMD greatness that makes light work of matrix math. Originally designed to rapidly paint dots on a computer monitor, it was then Read more…
April 12, 2017
HPC specialist Penguin Computing recently re-ran benchmarks from a study of its larger brethren and says the results show its ‘public cloud’ – Penguin on Demand (POD) – is among the leaders in cost and performance. Read more…
April 11, 2013
The Rockhopper cluster has been in production for over a year now, long enough for additional details to emerge on this interesting HPC cloud use case. Read more…
July 23, 2012
Penguin Computing's cloud division offers universities a number of flexible arrangements involving both locally-installed and Web-accessible HPC resources. Read more…
July 25, 2011
UCLA has added itself to list of institutions moving "outside the box" of brick and mortar solutions. The university recently selected HP's POD containerized datacenter to meet the needs of an expanding research base for its shared HPC cluster program. Read more…
May 11, 2011
Next-generation sequencing has opened a world of possibilities for science and medicine, but for providers of remote high performance computing like Penguin Computing via its HPC on demand service, the new world of massive genomics analytics has opened other doors--for researchers and their own business model. Read more…
July 14, 2010
Amazon's cloud platform got a high performance boost this week with the announcement of its Cluster Compute Instances (CCI). CCI specifically targets HPC workloads, incorporating high-end CPU horsepower and a low-latency interconnect fabric into the company's popular EC2 computing on-demand offering. The new capability welcomes HPC into the most well-recognized public cloud in the world. Read more…
June 1, 2010
A discussion with video featuring Penguin Computing Manager of Software Development. We provide an overview of delivering HPC as a service and discuss who is making broader use of this offering and when it is applied. 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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