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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
QCT QoolRack: An Optimized Liquid Cooling Solution for HPC/AI Workloads
Data center infrastructure running AI and HPC workloads requires powerful microprocessor chips and the use of CPUs, GPUs, and acceleration chips to carry out compute intensive tasks. AI and HPC processing generate excessive heat which results in higher data center power consumption and additional data center costs.
Data centers traditionally use air cooling solutions including heatsinks and fans that may not be able to reduce energy consumption while maintaining infrastructure performance for AI and HPC workloads. Liquid cooled systems will be increasingly replacing air cooled solutions for data centers running HPC and AI workloads to meet heat and performance needs.
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