November 8, 2023
If the U.S. government intends to curb China's adoption of emerging RISC-V architecture to develop homegrown chips, it may be getting late. Last month, China Read more…
September 8, 2022
The wheels are turning on the so-called CHIPS and Science Act, with a flurry of activity this week to turn the legislation into action. On Friday, U.S. President Joe Biden will be in Ohio alongside Intel CEO Pat Gelsinger to break ground on the chipmaker's new $20 billion manufacturing site, which will likely be partially... Read more…
August 16, 2022
For the second time in as many weeks, President Biden has signed into law a major bill with significant implications for the computing sector. The Inflation Reduction Act – which is certainly the cornerstone of Biden’s first two years in office – allocates hundreds of billions of dollars toward energy security, climate change and healthcare. Among those hundreds of billions are hundreds of millions for scientific computing. At the signing ceremony... Read more…
December 21, 2020
President-Elect Joe Biden has announced that Jennifer Granholm, former two-term governor of Michigan, will be his nominee for secretary of energy. The secretary 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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