PS Lee’s Post

Data centers are rapidly changing in #2025 under the influence of several key trends. Artificial intelligence and the increasing need for intensive computing require more powerful and energy-efficient infrastructures. The reduction of their environmental footprint has become the number one priority for constructors and operators of these key digital infrastructures, with the integration of renewable energy and sustainable cooling technologies. Local acceptability of data centers remains a challenge, as does the search for the necessary talent to meet the high level of demand. 10 major trends: 1. Building vast data center campuses.  2. Explosion of the demand for energy. 3. Advanced, sustainable cooling systems.  4. Making data centers more autonomous on the energy front.  5. Digital simulation (digital twins) 6. Location and diversification of sites 7. Innovations in heat reuse 8. To maximize the impact of such innovations, an integrated Lifecycle Analysis (LA) approach is becoming essential 9. Working on acceptability 10. Finding the necessary human resources

[Partner Content] The Green AI Revolution in Data Centres: What You Need to Know As datacentres become the backbone of our digital economy, their energy consumption has soared. Did you know that datacentres account for 1% of global energy use—more than the UK and nearly as much as all of France? Key Insights from Schneider Electric: Energy Surge: Data centre power demands are set to nearly quadruple by mid-century, driven by the explosive growth in data—from 2 petabytes in 2010 to 150 petabytes today. AI’s Role: With the rise of data-hungry AI applications, datacentre operators are leveraging AI to enhance energy efficiency and reduce carbon emissions. Green AI: AI is paving the way for greener datacentres by optimising cooling processes, improving predictive maintenance, and selecting energy-efficient locations. As the datacentre industry pushes for greater sustainability, the concept of ‘Green AI’ is emerging. This involves integrating AI to minimise energy consumption and carbon footprint while maintaining performance. Discover how data centres are evolving and how AI is driving this transformation towards a greener future. Dive into the full article to learn more about the future of energy efficiency in datacentres.  https://lnkd.in/g8TfHhR4 #GreenAI #DataCentres #Sustainability #SchneiderElectric #EnergyEfficiency #FutureOfData #TechForGood

🔥 AI requires more energy: Data centers could consume up to 9% of U.S. electricity by 2030🌐 💡 A new study reveals that data centers could consume up to 9% of U.S. electricity by 2030, driven by the growing demand for AI. This is more than double the current usage, posing potential regional supply challenges. ⚡💻 🌟 Key findings include: - AI queries use ten times the electricity of traditional internet searches. - Data centers may request power equivalent to 80,000 to 800,000 homes. - Scenarios predict annual growth rates from 3.7% to 15% in data center electricity consumption. 🔋 The rise in demand necessitates better collaboration between data centers, utilities, and stakeholders to ensure reliable and affordable power. EPRI suggests: 1. Enhancing data center efficiency. 2. Coordinating closely on power needs and delivery. 3. Developing advanced modeling tools for load forecasting. 📊 EPRI's new two-year program aims to tackle these challenges by improving load forecasting during extreme weather, estimating distributed energy resources, and more. Source: https://lnkd.in/dfdcnydA 🔥 Follow us to be updated about more tech advancements: linkedin.com/company/mimrg 🌟🔋 #DataCenters #AIEnergy #Sustainability #ElectricityDemand #EPRI #TechAdvancements

Mitigating data center energy consumption in the age of AI How digital twins can help reduce energy use Summary: The expansion of the digital economy, driven by AI advancements, has led to a significant rise in data center energy consumption, with global energy demand expected to more than double by 2026, according to the IEA. Hyperscale data centers, which are critical for supporting AI's computational needs, are rapidly being built across the US, but this expansion is accompanied by concerns over their high energy and water consumption. AI applications, particularly those reliant on GPU-based servers, are considerably more energy-intensive than traditional systems, requiring advanced cooling systems to prevent overheating. This surge in energy consumption, especially for cooling, highlights the need for innovative and sustainable solutions. Virtual twins—a technology that creates a digital representation of data centers—offer a transformative solution to managing energy consumption in AI-driven facilities. These digital models enable data center operators to simulate and analyze energy behaviors across servers, cooling systems, and energy grids. By providing insights into system performance, virtual twins help optimize resource use, reduce cooling energy consumption by up to 30%, and cut server energy costs by up to 10%. By utilizing real-time data and simulations, virtual twins can also help plan future upgrades, ensuring that facilities remain efficient while minimizing their environmental impact. This approach is crucial for balancing the operational needs of AI technology with sustainability goals, as data centers are responsible for significant portions of energy use globally. Ultimately, embracing technologies like virtual twins is essential for reducing the environmental footprint of data centers, especially in an era of rapidly growing AI demands. #DataCenters #AI #Sustainability #EnergyEfficiency #DigitalTwins #CoolingSolutions #GreenTech #EnvironmentalImpact #HyperscaleDataCenters #EnergyManagement

What are the Top Trends in Green Data Centres? AI-Powered Energy Optimization: Artificial Intelligence is transforming how data centres manage power usage. AI algorithms can predict energy consumption patterns and dynamically adjust operations, resulting in up to 40% savings in energy costs and a significant reduction in carbon footprints. Advanced Liquid Cooling: Traditional air cooling systems are being replaced by more efficient liquid cooling technologies, which reduce energy consumption and keep servers running at optimal temperatures with greater efficiency. This trend is critical for high-density computing and cloud services. Renewable Energy Integration: Solar, wind, and geothermal energy are powering data centres across the globe. These renewable sources reduce dependence on fossil fuels, enabling carbon-neutral data centres that are as sustainable as they are powerful. Modular and Energy-Efficient Designs: Modular data centres that are designed for scalability and energy efficiency are becoming the standard. These facilities are compact, eco-friendly, and can be easily expanded to meet growing demands without a huge environmental impact. Circular Economy and Waste Heat Recovery: Waste heat recovery systems are being used to repurpose excess heat generated by servers to power heating systems or nearby facilities, minimizing energy waste and lowering operational costs. This circular approach promotes sustainable growth. Why It Matters: Carbon Neutrality: As tech companies commit to becoming carbon-neutral by 2030, sustainable data centres are at the heart of this transformation. Cost Efficiency: Sustainability isn't just about the planet—green technologies often lead to lower operational costs, making them a win-win for both business and the environment. Future-Ready: As demand for data skyrockets, innovative trends in data centre design and operation ensure that the infrastructure can handle the load sustainably for years to come. What do you think will be the next big trend in green data centres? Let’s discuss in the comments! #FusionDynamics #Sustainability #GreenTech #DataCentres #FutureOfTech #AI #LiquidCooling #RenewableEnergy #CarbonNeutral #CircularEconomy #SmartInfrastructure #TechForGood

🤖 AI and Big Data: The Heart of Tomorrow’s Mega Data Centers Mega Data Centers are becoming the backbone of global connectivity and innovation. These massive facilities are designed to handle the ever-growing demand for cloud storage, data processing, and AI infrastructure. Here’s how various industry sectors are playing crucial roles in shaping the future of large-scale construction: 1️⃣ Construction Firms Construction firms are vital in building large data centers, various key construction companies are adopting green building certifications and sustainable practices, ensuring that data centers are energy-efficient and environmentally friendly. 2️⃣ Equipment Manufacturers Cooling tech like liquid and immersion systems are reducing server heat and save up to 30% energy by 2030! ❄️💧 Energy-efficient equipment and modular designs optimize temperature and cut costs. 3️⃣ Technology Providers Tech companies are at the forefront of integrating AI into data center operations, enabling predictive maintenance, real-time traffic management, and energy optimization. 4️⃣ Energy Providers Energy companies are increasingly supplying renewable energy sources such as solar, wind, and hydropower to data centers. By 2035, it is expected that 100% of major data centers will operate on green energy! The collaboration between construction firms, equipment manufacturers, technology providers, energy companies, and consulting firms is essential for the successful development of large-scale data centers. Together, they are paving the way for smarter, greener, and more efficient facilities that will support our digital future! 🌐🔋 #DataCenters #ConstructionInnovation #Sustainability #AI #EnergyEfficiency #GreenBuilding #FutureOfTech

As data centers become increasingly power-hungry to meet the massive processing demands of #AI computing, improving energy efficiency becomes critical. The powerful combination of #Onsemi's latest generation #T10PowerTrench family and #EliteSiC 650V #MOSFETs provides a complete solution for data center applications that offers unmatched energy efficiency and superior thermal performance in a smaller package size. AI-powered engines consume more than 10 times the power compared to a typical search engine request, and global data center power demand is expected to reach approximately 1,000 terawatt hours (TWh) in less than two years. From the grid to the #processor, power needs to be converted four times to power the processing of AI requests, which can result in power losses of approximately 12 percent. By using the T10 PowerTrench Series and EliteSiC 650V solution, data centers can reduce power loss by approximately 1%. If implemented in data centers around the world, this solution could reduce energy consumption by approximately 10 terawatt-hours per year, which is equivalent to powering nearly one million homes annually for an entire year. EliteSiC 650V MOSFETs offer superior switching performance and lower component capacitance for higher efficiency in data centers and energy storage systems. The new generation of #SiliconCarbide (#SiC) MOSFETs halves the gate charge and reduces the energy stored in both the output capacitance (#Eoss) and output charge (#Qoss) by 44 percent compared to the previous generation. Compared to Super Junction (SJ) MOSFETs, they have no trailing current during turn-off, offer superior performance at high temperatures, and significantly reduce switching losses. This enables customers to increase the operating frequency while reducing the size of system components, resulting in an overall reduction in system cost. Additionally, the T10 PowerTrench series is designed to handle the high currents critical to DC-DC power conversion stages, providing increased power density and superior thermal performance in a compact package size. This is achieved through a shielded gate trench design with ultra-low gate charge and on-resistance RDS(on) of less than 1 milliohm. In addition, the soft recovery body #diode and low Qrr effectively reduce ringing, overshoot, and electrical noise to ensure optimal performance, reliability, and robustness under stress. The T10 PowerTrench family also meets the stringent standards required for #automotiveapplications. The combined solution also meets the stringent #OpenRackV3 (#ORV3) base specification required by hyperscale operators to support next-generation high-power processors.   #semiconductor #SemiconductorElectronic #ElectronicsIndustry #ICHOME

The rapid expansion of AI-scale campuses presents both incredible opportunities and pressing challenges for the data center industry. As these facilities grow larger, securing essential resources like power and land becomes increasingly complex. In my home state, the finite nature of water and power highlights the urgent need for sustainable energy solutions. While transitioning to renewable energy is a goal we all share, meeting escalating energy demands may require incorporating natural gas into the mix. This approach, however, presents a trade-off—balancing immediate energy needs with long-term pollution emission reduction goals. Another critical consideration is data center efficiency, which varies significantly across the industry. This disparity underscores a clear opportunity for innovation. Advances in design, cooling technologies, power distribution, and large-scale battery storage (think solutions like Tesla's) could reshape the way we approach energy efficiency in data centers. The future of this industry lies in the hands of its buyers. If cloud providers and enterprises prioritize efficiency and sustainability, the market will respond with the necessary innovation and adaptation. As new data centers emerge and older facilities compete for clients, this is our chance to drive meaningful change and create a more sustainable foundation for the future of AI and data-driven technologies. What are your thoughts on how the data center industry can balance growth with sustainability of finite water and power resources? #ai #datacenters

Schneider Electric, the leader in digital transformation of energy management and automation, has released white paper 133 titled "Navigating Liquid Cooling Architectures for Data Centers with AI Workloads." The paper provides a thorough examination of liquid cooling technologies and their applications in modern data centers, particularly those handling high-density AI workloads. #data #digital #transformations #energy #management #automation #LiquidCooling #ai

AI data centers causing "distortions" in US power grid - Bloomberg Shows a strong link between data center proximity and quality of power for consumers Summary: A new Bloomberg analysis highlights a growing issue in the US power grid: the rapid expansion of AI data centers is distorting power quality in nearby areas, leading to risks of appliance damage, fires, and grid instability. 🔹 Key Findings: Bad Harmonics: AI data centers introduce electrical distortions, disrupting steady electricity waves and causing voltage spikes and sags, affecting residential power quality. Proximity Impact: More than 75% of highly distorted power readings occur within 50 miles of major data center hubs, with half of the worst cases found within 20 miles of these facilities. Northern Virginia as a Case Study: Loudoun County—home to the world’s largest data center cluster—shows harmonic distortion rates 4x higher than the US average. Grid Investment Shortfall: While the US DOE has allocated $2B for grid improvements, experts warn that $3.1T is needed by 2030 to support renewable energy integration and large-scale AI compute loads. As AI workloads scale exponentially, ensuring grid resilience and power quality will be critical. The conversation must move beyond capacity expansion to include power conditioning, harmonic mitigation, and smart grid investments to support AI without compromising reliability for millions of consumers. #AI #DataCenters #PowerGrid #EnergyInfrastructure #Sustainability #GridResilience #RenewableEnergy #TechPolicy #USInfrastructure