Examples of using Workloads in English and their translations into Slovak
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Colloquial
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Official
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Medicine
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Financial
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Ecclesiastic
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Official/political
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Computer
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Programming
refactored considering today's workloads.
This provides these members access to other group workloads.
Changing employers or heavy workloads is not considered to be a severe personal hardship.
In addition, you should review the system requirements for your Office server workloads.
Suitable for all workloads.
Has broad familiarity with SharePoint workloads.
A person needs to free himself from additional workloads, and increase his walking time to at least one hour.
Software and workloads used in performance tests may have been optimized for performance only on Intel® microprocessors.
By 2020, video streaming workloads will account for 34 percent of total consumer workloads, compared to 29 percent in 2015.
Storage VMotion will let administrators dynamically balance their storage workloads and resolve performance bottlenecks by migrating their virtual machines to the best available storage devices.
The approaches cover such ranges as virtual servers, workloads, information stockpiling,
By 2020, database/analytics/IoT workloads will account for 22 percent of total business workloads, compared to 20 percent in 2015.
Software and workloads used in performance tests may have been optimized for performance only on Intel microprocessors.
These virtual machines are designed for the most intensive compute workloads, including deep learning,
(FTC Disclaimer) Software and workloads used in performance tests may have been optimized for performance only on Intel® microprocessors.
Video streaming will account for 34% of total consumer workloads, compared to 29% in 2015.
Review resource workloads to see whether any assigned resources are now overloaded
But rising workloads and poorly engineered devices are decreasing scanning speeds,
Therefore, multithreaded workloads may not be optimally distributed on computers that have one of these processors installed in a lightly-threaded environment.
Intel processors power more than 97 percent of servers deployed to support machine learning workloads today.