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Watsonx Brings AI Visibility to Banking Systems
September 21, 2023
A new set of AI-based code conversion tools is available with IBM watsonx. Before introducing the new "watsonx," let's talk about the previous generation Watson Read more…
Nvidia Releasing Open-Source Optimized Tensor RT-LLM Runtime with Commercial Foundational AI Models to Follow Later This Year
September 14, 2023
Nvidia's large-language models will become generally available later this year, the company confirmed. Organizations widely rely on Nvidia's graphics process Read more…
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Whitepaper
QCT QoolRack: An Optimized Liquid Cooling Solution for HPC/AI Workloads
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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