WattAnyWhere’s Post

As interest in AI surges, so does demand for data centers. According to McKinsey & Company, the demand for data centers in Europe will increase to approximately 35GW by 2030 – a huge jump from 10GW today. And in the United States? Demand will explode to a startling 80 GW, up from 25 GW right now. The world will have to produce far, far more power than it does now to accommodate this growth. But we also need to make sure the energy infrastructure we build is sustainable, minimizes harm to the environment, and keeps costs low for the long haul. That means co-locating data centers with renewable power sources that keep emissions low and reduce the load on the grid. Developers also need to pick sites that can easily connect to the grid and don’t threaten the surrounding environment. At PVcase, we count on a specific software, PVcase Prospect. The technology enables developers to search for hundreds of potential land parcels at one time and analyze the complexities of the land, including an array of environmental factors. From there, they can easily pick the best sites for solar projects. We’ll need to deploy renewable energy quickly to keep up with the fast growth of data centers. Solar will be particularly instrumental and undoubtedly the most optimal choice because it can be built faster than other low-carbon sources. Our world is poised for an AI revolution. Now we need to build data centers in a sustainable way.

The rapid rise of AI is transforming industries at lightning speed, but it’s also creating a critical challenge: how do we sustainably power the data centers driving this revolution? Data center energy demand is projected to skyrocket – McKinsey & Company estimates a jump from 10GW to 35GW in Europe and 25GW to 80GW in the US by 2030. Meeting this demand sustainably isn’t optional; it’s essential. This is where renewables, especially solar, play a pivotal role. Solar is not only one of the most sustainable energy sources but also one of the fastest to deploy. Tools like PVcase Prospect are making it easier than ever for developers to locate and evaluate land for solar projects, optimizing site selection while prioritizing environmental impact. AI is shaping the future – let’s ensure that future is powered by clean, renewable energy. The challenge is clear, but so is the opportunity. #RenewableEnergy #AIRevolution #SolarPower #Sustainability #EnergyTransition #TechForGood

#Cleantechers - I'm unsure anyone can definitively say how big the global data center build out will be, much less its impact on national loads and power grids. Smarter people than me are giving estimates, but this change is unprecedented in human history. As an answer to both questions, maybe we just have to settle on "huge" for now. But H/T to two client CEOs, Hala Ballouz and David Trainavicius, who are raising important questions about this seismic change. David's latest piece is below, and I thought it was worth sharing.

#TOPofMIND #SOLAR #BESS #offshoreWIND #????????? How data centers and the energy sector can sate AI’s hunger for power The growth of data centers and the adoption of AI rely on the availability of electric power. Opportunities for investors in power infrastructure and adjacent sectors are quickly emerging. https://lnkd.in/gKnzjXZ9

The data center industry is navigating a transformative era, balancing growing demands with a commitment to sustainability. A shift toward holistic strategies is essential to move beyond traditional silos and chart a path for multi-objective optimization. As we look to 2025, key trends are reshaping the landscape. Global electricity demand continues to climb, with data centers projected to consume over 1,000 TWh annually by 2026. The rise of compute-intensive workloads, driven by AI and generative technologies, is accelerating the need for dedicated AI data centers designed for efficiency, scalability, and sustainability. Meanwhile, advancements in liquid cooling are addressing the challenges of higher power densities and thermal requirements, setting new benchmarks for operational efficiency.

🔋 AI's soaring energy demands pose a critical challenge for data centers, with consumption expected to double by 2028. But there's hope! New research shows hyperconverged infrastructure (HCI) could be the game-changer we need. 🌱 By modernizing data centers with HCI, we could save up to 19M tCO2e in EMEA alone - that's like taking 4.1M cars off the road! Plus, a potential €25B in savings by 2030. 💡 The key? Smart workload optimization at the edge, especially for AI inferencing, combined with hybrid cloud solutions and renewable energy. Time to rethink how we power our AI future! Thoughts? Let's discuss the future of sustainable AI infrastructure. 👇 #ArtificialIntelligence #Sustainability #DataCenter Is there a silver bullet to help data centers cope with AI’s energy demands?

🌐 The Energy Challenge of AI-Powered Data Centers 🌐 AI is revolutionizing industries, but the energy demands are significant—data centers powering AI could soon consume more electricity than entire cities, with usage projected to reach 8% of the U.S. total by 2030 (CNBC Article). At Limbach, a critical infrastructure building solutions provider, we understand the importance of integrating sustainability into innovation. Leveraging predictive maintenance and data insights, we can optimize energy use, reduce downtime, and integrate renewable solutions to address challenges like these head-on. 💡 The Opportunity? By combining cutting-edge technology with actionable insights, we can drive efficiency and sustainability in data centers while supporting AI’s growth. What strategies do you see as critical to tackling AI’s growing energy demands sustainably? Let’s collaborate and share ideas! https://lnkd.in/esMqEz3c #AI #DataCenters #Sustainability #EnergyEfficiency #PredictiveMaintenance #Innovation #Technology #Limbach

The rise of edge data centres 🚀🌐 Check out our latest feature in Business Reporter from Pulsant CCO Mark Turner. Mark discusses how sustainability, AI, and cloud repatriation are transforming edge data centres. Key highlights include: 🔋 Sustainability: Edge centres are adopting energy-efficient tech and renewable energy to reduce carbon footprints. 🤖 AI: They provide the necessary power and low latency for real-time AI applications, tackling data capacity issues. ☁️ Cloud repatriation: As companies manage cloud costs and performance, edge centres offer secure, cost-effective solutions. Read the full blog to learn more about how edge data centres are shaping the future of technology. #EdgeDataCentres #Sustainability #AI #CloudRepatriation #Innovation

The Energy Challenge of AI in Data Centers 🌱 As artificial intelligence (AI) continues to revolutionize industries, its energy demands are soaring, placing immense pressure on data centers to keep up. But are there sustainable solutions on the horizon to meet this challenge? A recent TechRadar article delves into this growing concern, highlighting the increasing strain AI workloads are placing on data center infrastructure. AI models—especially those using deep learning and large-scale training—are consuming vast amounts of electricity, pushing data centers to reconsider traditional energy practices. While there's no single "silver bullet" to solve this problem, the article explores several promising approaches: 1️⃣ Energy-efficient hardware: Optimizing GPUs and specialized AI chips can significantly reduce energy consumption. 2️⃣ Renewable energy adoption: Data centers are increasingly transitioning to solar, wind, and other renewable sources to power their operations. 3️⃣ Advanced cooling techniques: From liquid cooling to AI-driven thermal management, these innovations are helping data centers operate more efficiently. 4️⃣ Edge computing: Distributing data processing closer to users reduces latency and lowers the energy load on centralized data centers. The journey toward sustainable AI infrastructure requires collaboration, innovation, and continued investment. As AI adoption grows, so too must our commitment to building energy-efficient, eco-friendly data centers. Read more: http://ms.spr.ly/6044W9Dvg #AI #DataCenter #Sustainability #Innovation #EnergyEfficiency

The digital economy is expanding at an unprecedented pace, driven by advancements in artificial intelligence (AI). This rapid growth has heightened the demand for robust infrastructure and spurred a surge in data centers, leading to a significant increase in US energy consumption—something not seen in decades. In fact, the International Energy Agency (IEA) projects that global energy demand for AI-driven data centers will more than double by 2026. For your energy needs, speak to BIOTERRAN, offering green solutions to data centers in the US and globally. #datacenters #ai #artificialintelligence #digitaleconomy #iea #energy #renewableenergy #investors #innovation #sustainable #bioterran