February 7, 2023
A major initiative by U.S. president Joe Biden called EarthShots to decarbonize the power grid by 2035 and the U.S. economy by 2050 is getting a major boost thr Read more…
November 17, 2022
Large language models (LLMs) have taken the tech world by storm over the past couple of years, dominating headlines with their ability to generate convincing hu Read more…
September 14, 2022
Chipmaker Cerebras is patching its chips – already considered the world's largest – to create what could be the largest-ever computing cluster for AI computing. A reasonably sized "wafer-scale cluster," as Cerebras calls it, can network together 16 CS-2s into a cluster to create a computing system with 13.6 million cores for natural... Read more…
May 25, 2022
The battle among high-performance computing hubs to stack up on cutting-edge computers for quicker time to science is getting steamy as new chip technologies become mainstream. A European supercomputing hub near Munich, called the Leibniz Supercomputing Centre, is deploying Cerebras Systems' CS-2 AI system as part of an internal initiative called Future Computing to assess alternative computing... Read more…
April 28, 2022
As the pandemic swept across the world, virtually every research supercomputer lit up to support Covid-19 investigations. But even as the world transformed, the Read more…
April 21, 2022
Cerebras Systems has been making waves for a few years with its massive, dinner plate-sized Wafer Scale Engine (WSE) chips, which are aimed at helping organizat Read more…
January 28, 2022
Computational biology—particularly via combined HPC and AI—has taken the spotlight during the pandemic as pharmaceutical companies and research institutes r Read more…
September 16, 2021
Five months ago, when Cerebras Systems debuted its second-generation wafer-scale silicon system (CS-2), co-founder and CEO Andrew Feldman hinted of the company’s coming cloud plans, and now those plans have come to fruition. Today, Cerebras and Cirrascale Cloud Services are launching... Read more…
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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