MIT's Christina Delimitrou applies machine learning to make data centers more efficient
Overview
MIT associate professor Christina Delimitrou and her group are using machine learning to make large-scale data centers more efficient, secure, and reliable, according to an MIT News profile.
The work rethinks how servers and networking equipment operate, aiming to let operators extract more computing power from existing hardware.
Her group's approaches, as described by MIT News, include redesigning outdated cloud systems, managing shared hardware resources, and creating streamlined server architectures. The profile also says AI is being used to help programmers find and fix problems in cloud-based applications, with the stated goal of reducing downtime that hampers performance and drains resources. These claims come from the university's own report and have not been independently measured.
Written by AI from the articles below · updated Oct 8, 7:45 PM ET
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- MIT News · AIMIT's Christina Delimitrou uses machine learning to make data centers more efficient
AIMIT associate professor Christina Delimitrou is applying machine learning to make large-scale data centers more efficient, secure, and reliable, rethinking how servers and networking equipment operate. Her group redesigns outdated cloud systems, manages shared hardware resources, and creates streamlined server architectures so operators can extract more computing power from existing hardware. She also uses AI to help programmers find and fix problems in cloud-based applications, reducing downtime that hampers performance and drains resources.
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