It sure feels like the long lines to use Nvidia's GPUs could get shorter in the coming months.
A flurry of companies – large and small -- in the last few months have reported receiving del …
SC23 will mark the tenth anniversary of the HPC Leadership Tutorials. A decade ago, providing training for the HPC community other than for users, programmers, or system administrators was almost …
Check out our list of 108 illustrious winners across 22 different categories of HPC.
October 25, 2023
When planning an AI or HPC investment, applications are where the rubber meets the road and ultimately determine the benefits of any hardware investment. In add Read more…
October 11, 2023
Financial institutions need more compute capacity when trading spikes during the day, which could be available by just flicking a switch. Gone are the days of p Read more…
August 31, 2023
In a recently, but as of yet unannounced press release, there was mention of a US government effort to help expand the use of HPC for US manufacturers. Brin Read more…
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…
August 30, 2023
An introduction to Fuzzball, which combines the best of enterprise tooling with the latest in modern HPC technology. The standard architecture of high Read more…
August 23, 2023
As quantum computing advances, there are periodic announcements of achieving Quantum Supremacy -- a test where Quantum Computers (QC) complete some example algo Read more…
August 16, 2023
Google Cloud's new H3 virtual machine instances provide a big jump in performance thanks to a focus on network performance, but with restrictions: it only suppo Read more…
August 10, 2023
The HPC users dream is to keep stuffing GPUs into a rack mount box and make everything go faster. Some servers offer up to eight GPUs, but the standard server u Read more…
Making the Most of Today’s Cloud-First Approach to Running HPC and AI Workloads With Penguin Scyld Cloud Central™
Bursting to cloud has long been used to complement on-premises HPC capacity to meet variable compute demands. But in today’s age of cloud, many workloads start on the cloud with little IT or corporate oversight. What is needed is a way to operationalize the use of these cloud resources so that users get the compute power they need when they need it, but with constraints that take costs and the efficient use of existing compute power into account. Download this special report to learn more about this topic.
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.
QCT worked with Intel to develop the QCT QoolRack, a rack-level direct-to-chip cooling solution which meets data center needs with impressive cooling power savings per rack over air cooled solutions, and reduces data centers’ carbon footprint with QCT QoolRack smart management.
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