September 8, 2022
CATALOG, which was founded in 2016 by MIT researchers, pitches itself as “building the world’s first DNA-based platform for massive digital data storage and Read more…
December 11, 2021
For decades, researchers have worked toward scalable data storage in DNA’s four nucleotides (A, T, G and C). The technology, once mastered, would yield millio Read more…
April 5, 2021
Tape storage has dominated high-volume data storage for many decades, and with data production continuing to grow exponentially, researchers are eager to find a Read more…
September 11, 2020
You've heard the saying "flash is the new disk and disk is the new tape," which traces its origins back to Jim Gray*. But what if DNA-based data storage could o Read more…
July 15, 2020
Even as storage density reaches new heights, many researchers have their eyes set on a paradigm shift in high-density information storage: storing data in the f Read more…
January 21, 2020
DNA-based storage, which involves storing binary code in the four nucleotides that constitute DNA, has been a moonshot for high-density data storage since the 1960s. Since the first successful experiments in the 1980s, researchers have made a series of major strides toward implementing DNA-based storage at scale, such as improving write times and storage density and enabling easier file identification and extraction. Now, a new $25 million... Read more…
September 20, 2019
Storing digital data inside of DNA has been an idea since the 1960s, and recent developments have addressed some of the obstacles facing its scaled implementation. Now, researchers at the Technion-Israel Institute of Technology and the... Read more…
July 18, 2017
From abacus to pencil and paper to semiconductor chips, the technology of computing has always been an ever-changing target. The human brain is probably the com 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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