QCT POD Modern Converged Platform for HPC/AI Workloads

The massive growth of data and the need to process, store, and analyze the data is requiring many industries to revise their infrastructure and environments. Building an integrated workload driven system with optimized performance is time consuming and requires many resources. Organizations are looking for an integrated system which is capable of running both HPC and AI workloads to meet their demands for enhanced workload processing, storage, and analysis efficiency.

This paper describes how Quanta Cloud Technology (QCT) developed the QCT POD concept which is a Platform on Demand solution with common building blocks used to design on-premises, rack-level systems with hardware and software integration capable of running both HPC and AI workloads on one system infrastructure. QCT POD systems powered by Intel provide organizations with best-fit building blocks designed to meet business demands from various workloads.

Please register to read this whitepaper produced by Tabor Custom Publishing in conjunction with HPCwire, and sponsored by QCT and Intel

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