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SD4Health Resources and Flavours Definitions: Difference between revisions
SD4Health Resources and Flavours Definitions (view source)
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=='''Contents'''== | =='''Contents'''== | ||
===High Availability (HA) Flavour=== | ===High Availability (HA) Flavour=== | ||
This flavour is designed for general-purpose workloads, such as web servers, databases that can't afford being down. The virtual machines in this flavour are optimized for web applications and can handle moderate traffic. Web flavors are VM spawn for host that have hyper threading turned on. These hosts are located in the High Availability room, which is connected to UPS batteries and Diesel Generators to keep the room running in case of grid failure. | This flavour is designed for general-purpose workloads, such as web servers, databases that can't afford being down. The virtual machines in this flavour are optimized for web applications and can handle moderate traffic. Web flavors are VM spawn for host that have hyper threading turned on. These hosts are located in the High Availability room, which is connected to UPS batteries and Diesel Generators to keep the room running in case of grid failure. | ||
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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 computing is the use of a graphics processing unit (GPU) to accelerate deep learning, analytics, and engineering applications, for example. GPU accelerators now power energy-efficient data centres in government labs, universities, enterprises, and small-and-medium businesses around the world. | GPU computing is the use of a graphics processing unit (GPU) to accelerate deep learning, analytics, and engineering applications, for example. GPU accelerators now power energy-efficient data centres in government labs, universities, enterprises, and small-and-medium businesses around the world. | ||
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====Public IP address==== | ====Public IP address==== | ||
A public IP address that a project can associate with a VM so that the instance has the same public IP address each time that it boots. You create a pool of floating IP addresses and assign them to instances as they are launched to maintain a consistent IP address for maintaining DNS assignment | A public IP address that a project can associate with a VM so that the instance has the same public IP address each time that it boots. You create a pool of floating IP addresses and assign them to instances as they are launched to maintain a consistent IP address for maintaining DNS assignment. | ||
====SSD Block Storage==== | ====SSD Block Storage==== | ||