Inked Land Company’s Post

"AI For Real And Electricity": Data Centers Will Consume 9% of Total US Electricity Generation, Says Study. The demand for power from data centers processing AI could surge to consume up to 9% of US electricity generation by 2030, posing regional supply challenges. A new study by EPRI on the potential surge in electricity demand from data centers processing AI. At present, data centers consume half that amount. The increase is attributed to the higher power demands of AI tools and the concentrated nature of computing facilities. The analysis also highlights regional supply challenges and outlines strategies to address the growing power needs of AI while maintaining reliability and affordability. -Breaking Down AI For Everyone- https://lnkd.in/dfdcnydA

As the integration of AI accelerates, the impact on data centers is becoming increasingly significant. A recent DOE report sheds light on a critical issue: AI-driven data centers are rapidly increasing power consumption, pushing the boundaries of what current infrastructures can support. Great read. At BRUNS-PAK Data Center Solutions, we recognize the importance of proactively addressing these challenges. As AI models grow in complexity and demand more computing power, data centers must evolve to ensure scalability and sustainability. This means not only optimizing energy usage but also rethinking cooling systems and adopting innovative technologies to support AI workloads efficiently. We’re at a pivotal moment where data centers can no longer operate on traditional models. The future demands a sustainable, AI-ready infrastructure that can handle the ever-growing power requirements while maintaining operational efficiency. Let’s talk about future-proofing your data center in this AI-driven era...give me a shout! #AI #DataCenters #EnergyEfficiency #BRUNSPAK #Innovation #FutureOfTech

🚨 DOE Report Exposes Critical Impact of AI on Data Center Power Consumption 🔋⚡ The US Department of Energy has unveiled a roadmap to address AI's growing energy demands while ensuring grid reliability and sustainability. 🌍 In collaboration with industry giants like Amazon, Google, Meta, OpenAI, and more, the #DOE presented several key recommendations: 1️⃣ The creation of a data center AI testbed to develop energy-efficient AI algorithms. 2️⃣ Partnerships between energy utilities and data center operators to resolve electricity supply issues. 3️⃣ A rapid assessment of power generation and grid technology challenges for regional data center growth. Read more ➡️ https://lnkd.in/eMEvPN7z #AI #DataCenters #EnergyEfficiency

The US Department of Energy (DOE) has partnered with #datacenter industry experts to address the escalating energy needs of artificial intelligence and digital infrastructure. A new report, published by the DOE in collaboration with a wide range of industry stakeholders, offers a detailed roadmap for meeting these growing demands while maintaining grid reliability and environmental sustainability. The report (PDF), titled ‘Recommendations on Powering Artificial Intelligence and Data Center Infrastructure’, highlights the soaring power demands from data centers, particularly those driven by #AI applications. With hyperscale facilities now requesting 300-1,000 MW of power and lead times of just one to three years, local grids are struggling to keep pace, the report states. The expansion of large language models (LLMs) was identified as a significant factor in this surge, raising concerns about future #energyconsumption as AI becomes more deeply integrated into society.

⚡ Data centers could use 9% of US electricity by 2030, research institute says | Reuters"Depending on the adoption pace of technology such as generative artificial intelligence (AI), which is fueling the expansion of data centers, and the energy efficiency of new centers, the estimated annual growth rate of electricity use by the industry ranges from 3.7% to 15% through 2030, the institute's analysis said" https://lnkd.in/dzh9qVKm #AI #Energy #ClimateChange #Bigtech

As AI usage continues to surge with no sign of slowing down, it is poised to strain the electricity demand on data centers. With one of the largest data center markets in the world, the US is at a crossroads trying to balance the demand for more data and the need to conserve power. Amber Smith, with Data Centre Magazine, discusses this issue while providing various possible solutions data centers can explore moving forward. Read the full article here: https://lnkd.in/eTW_QXKF #datacenter #data #sustainability #AI

Why #DataCenter Capacity is Measured in Megawatts: SaurEnergy Explains Data Centres have moved to the front of the conversation around rising energy demand, what with the spread of digital usage, and more recently, the hype around #AI or Artificial Intelligence.

AI's carbon footprint appears likely to be alarming (one query to ChatGPT uses approximately as much electricity as could light one light bulb for about 20 minutes) and will compound the exponential growth of the data center industry and the need for it to evolve rapidly. - Increased AI use requires innovative energy solutions. - Collaboration with utilities and independent power producers is essential. - Retiring traditional power sources means exploring behind-the-meter configurations. - Repurpose legacy sites for efficient energy use. - Geographical diversification into underutilised markets is crucial. - Adoption of advanced technologies like long-duration storage and small modular reactors is vital. - Strategic partnerships and proactive resource planning are key. In conclusion, these steps will ensure data centres remain resilient and competitive in a rapidly evolving landscape. #sustainability #AI #energytransition

US data center power consumption is expected to more than double by 2030, according to new research from the Electric Power Research Institute (EPRI), as providers look to keep pace with generative AI demand. By 2030, almost a tenth (9%) of US electricity generation could be consumed by datacenters. Drawing on various bodies of public information and industry growth estimates, the EPRI outlined four different potential consumption rate scenarios between 2023 and 2030, with growth rates ranging from 3.7% to 15%. The “lowest” scenario in terms of power consumption assumed “limited public uptake” of generative AI and significant gains in data center efficiency, while the “highest” case scenario assumed the “rapid expansion” of AI. This scenario returned data center power ranges of 4.6% to 9.1%. #datacenters #AI #powerconsumption

The rapid growth of AI Data Centers means that Utility companies will need to make significant advancements to keep up with the increasing demand. Nobody could have imagined 5 years ago that a Data Center would require, for instance, a 345 kV overhead power to deliver 900MVA. Today, the AI client is strongly and steadily knocking the utility company’s door. A growing business synergy is already happening. https://lnkd.in/geeGvDSY