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…
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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