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Scientific Computing Options Maturing in the Cloud

August 31, 2023

Supercomputing remains largely an on-premises affair for many reasons that include horsepower, security, and system management. Companies need more time to move Read more…

DGX Cloud Is Here: Nvidia’s AI Factory Services Start at $37,000

March 21, 2023

If you are a die-hard Nvidia loyalist, be ready to pay a fortune to use its AI factories in the cloud. Renting the GPU company's DGX Cloud, which is an all-inclusive AI supercomputer in the cloud, starts at $36,999 per instance for a month. The rental includes access to a cloud computer with eight Nvidia H100 or A100 GPUs and 640GB... Read more…

AWS Debuts Palace – Finite Element Analysis Suite Fine-Tuned for the Cloud

February 21, 2023

In an interesting twist on quantum-inspired work making its way into traditional HPC – and in this case a step further into cloud-based HPC – AWS today intr Read more…

Evolving HPC Cloud: Catching Up with Amazon Web Services’ Ian Colle

December 7, 2022

Ahead of SC22 in Dallas last month, I met up virtually with Ian Colle, general manager of high performance computing at Amazon Web Services. In this fast-paced Read more…

AWS Introduces a Flurry of New EC2 Instances at re:Invent

November 30, 2022

AWS has announced three new Amazon Elastic Compute Cloud (Amazon EC2) instances powered by AWS-designed chips, as well as several new Intel-powered instances � Read more…

Nvidia Adds Rescale Software Stack to AI Cloud Computing

November 9, 2022

Nvidia does not have all the internal pieces to build out its massive AI computing empire, so it is enlisting software and hardware partners to scale its so-called AI factories in the cloud. The chip maker's latest partnership is with Rescale, which provides the middleware to orchestrate high-performance computing workloads on public and... Read more…

HPE Adapting New Server Hardware to Changing Cloud Models

November 1, 2022

Server hardware has taken a backseat to software-defined virtual machines handling datacenter workloads, but HPE is emphasizing the importance of hardware in these virtual operating models. HPE created waves when it released the next-generation ProLiant Gen11 servers with a flagship server based on Arm CPUs, which sent a strong... Read more…

Oracle Providing a Ground to Fuel Nvidia’s Subscription Revenue

October 18, 2022

Oracle is bringing Nvidia's AI Enterprise software suite alongside thousands of its latest GPUs to its cloud infrastructure, which could fuel the chipmaker’s Read more…

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Whitepaper

How Direct Liquid Cooling Improves Data Center Energy Efficiency

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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Sponsored by CoolIT

Whitepaper

Transforming Industrial and Automotive Manufacturing

Divergent Technologies developed a digital production system that can revolutionize automotive and industrial scale manufacturing. Divergent uses new manufacturing solutions and their Divergent Adaptive Production System (DAPS™) software to make vehicle manufacturing more efficient, less costly and decrease manufacturing waste by replacing existing design and production processes.

Divergent initially used on-premises workstations to run HPC simulations but faced challenges because their workstations could not achieve fast enough simulation times. Divergent also needed to free staff from managing the HPC system, CAE integration and IT update tasks.

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Sponsored by TotalCAE

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