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Intel Distribution for Python* Scaling HPC and Big Data Sergey Maidan Software Engineering Manager for Intel Distribution for Python×Quick Facts Released Intel Distribution for Python* in Sep16 Outofthebox
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Assess the current infrastructure requirements and limitations.
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Scaling HPC and Big refers to the process of increasing the capacity of High Performance Computing and Big Data systems to handle higher workloads.
Organizations or individuals utilizing High Performance Computing and Big Data systems may be required to file scaling reports.
Scaling HPC and Big reports can be filled out by providing information on the current system capacity, projected workloads, and proposed upgrades.
The purpose of scaling HPC and Big is to ensure that systems can meet the growing demands of data processing and analysis.
Information such as current system specifications, planned upgrades, projected workloads, and scaling strategy must be reported on scaling HPC and Big.
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