Lewis Richards’ Post

In line with our commitment to responsible AI and our ambitious sustainability commitments, we’re determined to tackle this challenge so the world can harness the full benefits of AI. There are three areas where we’re deeply invested and increasing our focus. The first is optimizing datacenter energy and water efficiency. The second is advancing low-carbon materials, creating global markets to help advance sustainability across industries. And the third is improving the energy efficiency of AI and cloud services, empowering our customers and partners with tools for collective progress.

#Innovating for #Energy Efficiency in #AI === There are three areas where we’re deeply invested and increasing our focus: 1) Optimizing datacenter energy, water, waste, and ecosystem 2) Advancing low-carbon materials 3) Improving energy efficiency of AI. Another example of how we're making our AI more sustainable Sustainable by design: Transforming datacenter water efficiency | The Microsoft Cloud Blog : https://lnkd.in/gDPS_DAh

From carbon negativity to circular economies, these industry leaders are harnessing AI for a sustainable tomorrow. 🌱 Learn how Microsoft, Google Cloud, IBM, and Dell are making strides in AI sustainability. Read more: https://lnkd.in/ef9RRhcK #Innovation #LightweightLabs #LightweightSolutions

Cloud and AI: Powering a New Era of Innovation in the Utility Sector

In the rapidly changing landscape of the energy transition, technologies like #AI and #CloudComputing are likely to be key players. But the real challenge is how companies identify the right technologies to invest in and, equally important, how they prepare for the associated risks. Join us in the latest episode of "Decoding the Energy Transition," where Kurt Swakhoven and Cathrine Johansen explore these critical questions. They dissect the role of AI, Cloud Computing, and more, helping companies navigate the digitalisation trends in their journey toward a sustainable future. 🚀💻 #DNVDecodes #EnergyTransition #TechnologyTrends

Data centres are the backbone of the modern digital economy, enabling everything from cloud computing to AI-driven applications. While we previously analysed how AI can help the UK energy sector, the question remains - how do we keep the momentum going? In our latest blog, we take a look at how the energy industry can ensure that data centres powering AI run smoothly and sustainably. Read our blog here: https://lnkd.in/dhumewz4 #EnergySecurity | #BusinessEnergy | #EnergySupply | #PowerCut | #EnergySaving | #EnergyMonitoring | #EnergyManagement | #EnergyEfficiency

Microsoft's #scope3 carbon emissions have surged by 30% since 2020, attributed to #datacenter expansion. Hitachi Energy's #carbonfree manufacturing could offer a #sustainable solution. Peers like Google, Meta, Amazon Web Services (AWS), and other global data centers could also benefit. Ask us how! #sustainablefuture Check out the article here: https://lnkd.in/eZ3FQq5T

At Microsoft, we recognize that AI is a powerful catalyst for advancing sustainability progress globally. As we navigate the promise of AI as an accelerant for sustainability solutions with the current realities of its resource intensity, we're taking diligent steps to solve the challenges: 1) Optimizing datacenter energy and water efficiency 2) Advancing low carbon materials 3) Improving the energy efficiency of AI and cloud services   Learn more about how we're taking action in Microsoft Chief Sustainability Officer Melanie Nakagawa's new blog. #MicrosoftSustainability #AIforGood #ClimateAction #ResponsibleTech

Excessive carbon emissions and skyrocketing cloud costs are serious consequences of the demands put on our compute infrastructures. What if you could reduce your cloud compute resource utilization by as much as 30-40% immediately? SimTheory’s technology can help you do just that. Contact us to find out how! Google’s emissions climb nearly 50% in five years due to AI energy demand https://lnkd.in/gD-dS9Cc #cloudwaste #carbonfootprint #optimization

Important insights from Mark Russinovich on Microsoft's commitment to sustainability while innovating in cloud and AI. It's inspiring to see how they're reimagining infrastructure with energy efficiency at the forefront - from silicon-level power telemetry to novel LLM inference techniques. The work on industry standards for AI data formats and development of smaller, more efficient language models like Phi-3 are particularly interesting. A great example of how technological advancement and environmental responsibility can go hand-in-hand. #AIInnovation #Sustainability #CloudComputing https://lnkd.in/e8ppvddS