Eaton’s Post

As AI is reshaping how we interact with machines and the world around us, the design of data centers needs to adapt to this fast-changing landscape. We sat down with Page Engineering Director Tom Earp to discuss Page's perspective on reimagining traditional approaches for these facilities to future-proof design: https://bit.ly/4955IZj #AI #ArtificialIntelligence #DataCenters #PageThink #ImagineWhatsPossible

An interesting piece by Tom Earp, Engineering Director at Page Southerland Page, Inc., exploring the world of AI and how traditional design approaches must be reimagined to accommodate -- and optimize -- the future of #datacenterdesign. Check it out!

Data centers: The powerhouses of the AI revolution, but can they power themselves sustainably? Generative AI is gobbling up data and energy, making data centres hungrier than ever for clean power. Investors are taking notice, demanding sustainable solutions from data center operators. Dive into this article to explore the future of data centers in the age of AI. #sustainability #cleanenergyfuture #datacenters https://lnkd.in/g_EFQtWU

ICYMI: Natalya Makarochkina, Schneider Electric explores the profound influence of this cutting-edge technology on the future landscape of data centers. Join the conversation as we delve into the transformative power of AI, shaping the next chapter of data management and technological advancement. Catch up on the full report below! #DataCenter #AI #Technology #Sustainability

Tune in to this #JSATV interview at #PTC24 featuring Sean Farney, VP at JLL, discussing the future of data centers in an AI and sustainability-driven world. From Adaptive Reuse to powering AI technologies, discover how data centers are evolving for a greener, more efficient future. 🌍 #DataCenters #AI #Sustainability #digitalinfrastructure

Generative AI and global power consumption: High, but not that high. Preliminary calculations by Uptime Intelligence suggest the initial impact of generative AI on global data center power use is low — but it will rise quickly as adoption increases - DCD https://buff.ly/3UAFc3z #GenAI #DataCenter

As we enter into the #era of AI, there is an environmental issue arising from the overheating of data centers. SK Enmove Co., Ltd. (#SKEN) has addressed this issue by focusing on the development of a solution, liquid immersion cooling. Watch the video below to learn more about liquid immersion cooling and how SK Enmove is making efforts to take lead in the thermal management market with ZIC e-FLO. #ZIC #eFLO #AI #DataCenter

AI’s Role in Optimizing Data Centers In the ever-evolving landscape of data centers, artificial intelligence (AI) is emerging as a game-changer. By leveraging AI to dynamically adjust cooling systems, we can optimize efficiency while maintaining the paramount goals of reliability and uptime. AI helps us move beyond traditional designs and focus on real-time data to make better decisions, such as adjusting chilled water setpoints during extreme weather conditions. The future of data center cooling is not just about keeping systems cool, it's about doing so sustainably and intelligently. #ArtificialIntelligence #Sustainability #DataCenters #Efficiency #Reliability #DataCenterDesign #Sustainability #GreenTechnology #AI #CoolingSystems #DataCenters #AIIntegration

Chayora continues to refine its data center design, construction, and operations to address the increasing demand for computing power. To glean insight into Chayora's innovation journey as it supports high-performance computing and generative AI, read this article in collaboration with WeChat publication, 'A little knowledgeable guy': https://hubs.la/Q02l5N-k0 #Chayora #DataCenter #AIGC #AI

#AI and #MachineLearning technology continues to impact nearly every aspect of our daily lives, and surveying is no exception. According to this Engineering(.com) article, “Time-tested methods of collecting geospatial data for infrastructure and other engineering projects are being turned upside down by new products that lean heavily on AI and ML. Three recent developments provide a glimpse into the intense activity in new survey data collection and extraction.” Check out the article where Khrystyna Bezborodova and Thomas Widmer discuss point cloud classification and feature extraction tech from Trimble: https://bit.ly/3JmRZ4t