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Our Panel at San Francisco Climate Week

Hi Watchers! The Cloud Sustainability Watch panel on sustainable computing at SF Climate Week went well! The incredible panelists shared insights and the discussions formed a richly informative education on why applications on the cloud must become more sustainable and how it should be done.  They were Allegra Reister of Google Sustainability talking about green…

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Carbone4’s evaluation of customer emissions tracking dashboards from hyperscalers

The team at the French consulting firm Carbone4 did a valuable analysis of the emissions calculators available to customers at: AWS, Google Cloud, Microsoft Azure, Oracle Cloud, and OVHCloud.

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Data Centers Disrupt Communities

A difficult fact of siting data centers is that nearby communities endure high water consumption, impacts of power supply, exposure to noise from cooling systems, and the eyesore of the facility. Community members often object to data center construction while local governments are frequently welcoming.

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The Big 3 Cloud Providers

The size, growth and influence of AWS, Azure, and GCP—the Big 3 brands and market leaders in global cloud computing services—create an obligation to invest as much money and attention as possible into reducing environmental impact in the face of exploding market demand.

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Why do data centers impact the environment?

Professionally run data centers are the most power-efficient and carbon-efficient method of delivering the world’s computing at this time. McKinsey & Company’s 2023 report “Cloud-powered technologies for sustainability” estimates that in 2050, cloud usage will reduce greenhouse gas emissions by 1.5GtCO2e annually compared to staying with existing data center decisions.

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The environmental impact of cloud computing

Cloud computing’s data center operators and IT professionals are responsible for bringing the environmental impact of the cloud to heel. These groups built out the cloud computing industry, and their daily decisions steer its direction.

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AWS wants you to do some green software design

The hyperscalers are working to convince their customers to be highly efficient because demand is outstripping supply. We should do it.

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A photonic chip to vastly reduce the energy demands of AI computations

A photonic chip invention uses light to run all types of neural network computations at very low energy use rates and with speed and accuracy comparable to existing AI chips.

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