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SD4Health Resources and Flavours Definitions: Difference between revisions
SD4Health Resources and Flavours Definitions (view source)
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This flavour is designed for GPU-intensive workloads, such as machine learning, deep learning, and scientific simulations. It provides a high-performance computing environment with dedicated GPU resources, high memory, and fast storage. The virtual machines in this tier are optimized for GPU-intensive workloads and can handle large-scale parallel processing. | This flavour is designed for GPU-intensive workloads, such as machine learning, deep learning, and scientific simulations. It provides a high-performance computing environment with dedicated GPU resources, high memory, and fast storage. The virtual machines in this tier are optimized for GPU-intensive workloads and can handle large-scale parallel processing. | ||
==Definitions<ref>[https://docs.alliancecan.ca/wiki/Technical_glossary_for_the_resource_allocation_competitions#Computational_resources]DRAC</ref>== | =='''Definitions'''<ref>[https://docs.alliancecan.ca/wiki/Technical_glossary_for_the_resource_allocation_competitions#Computational_resources]DRAC</ref>== | ||
====GPU==== | ====GPU==== | ||