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Is AI green, how sustainable is it?

Dataconomy

The lifecycle of AI technologies—from inception and operational use to eventual obsolescence—exacts a substantial environmental toll, marked by extensive energy consumption and carbon emissions. AI stands at the forefront of technological evolution, yet its capacity for change is shadowed by an essential query: is AI green?

Energy 34
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Rackspace’s CTO takes a broad view of sustainability

CIO Business Intelligence

Economic sustainability is about fair and equal access to employment, broadband networks, and other technology resources, while the third pillar, equitable sustainability, involves removing or reducing bias in the flood of data and algorithms underpinning applications, particularly in emerging generative AI models, he says.

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Every step and smell holds an insight

Dataconomy

Energy consumption data Energy consumption data refers to the data collected on energy usage patterns from smart meters, building management systems, or industrial facilities. This data can help identify areas for energy efficiency improvements, optimize energy consumption, and predict future energy demand.

Energy 41
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Whispering algorithms of smart surroundings

Dataconomy

It pervades our homes, workplaces, public spaces, and even our personal devices, creating a pervasive and interconnected network of intelligent systems. Smart homes, for example, can optimize energy usage by intelligently controlling heating, cooling, and lighting based on occupancy and environmental conditions.

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7 Software Defined Networking Considerations » Data Center.

Data Center Knowledge

7 Software Defined Networking Considerations. 7 Software Defined Networking Considerations. The move toward software defined networks (SDN) in the data center is no longer a question of “if” or “when,” but “how.” 2) The size of an organization’s network. Industry Perspectives. By: Industry Perspectives July 26th, 2013.

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The Software Defined Data Center Meets Disaster Recovery » Data.

Data Center Knowledge

The term refers to an IT facility where the networking, storage, CPU and security are virtualized and delivered as a service. Finally, the concept works at the hypervisor level, which allows the company to better and more fully utilize its hardware. SDDR works at the hypervisor layer and does not depend on hardware.

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5 Tips to Boost Your Data Center IQ » Data Center Knowledge

Data Center Knowledge

7 Software Defined Networking Considerations – Moving to software defined networking is not a matter of “when” but “how,” and there are seven main factors IT administrators should consider when determining whether SDN is right for their network, says Patrick Hubbard of SolarWinds. Networking.