Vertiv’s Post

The expansion of high-performance computing (HPC), like AI and machine learning, has surged global data consumption. But with it comes heightened energy demand and decarbonization pressure. Data centers must chart a path to grid independence. Join us as we explore the "bring your own power" (BYOP) solution. http://ms.spr.ly/6048lHFKI #UPSsystems #DataCenters #AI #Decarbonization

The expansion of high-performance computing (HPC), like AI and machine learning, has surged global data consumption. But with it comes heightened energy demand and decarbonization pressure. Data centers must chart a path to grid independence. Join us as we explore the "bring your own power" (BYOP) solution. http://ms.spr.ly/6045lKsWL #UPSsystems #DataCenters #AI #Decarbonization

The expansion of high-performance computing (HPC), like AI and machine learning, has surged global data consumption. But with it comes heightened energy demand and decarbonization pressure. Data centers must chart a path to grid independence. Join us as we explore the "bring your own power" (BYOP) solution. http://ms.spr.ly/6041lyBg7 #UPSsystems #DataCenters #AI #Decarbonization

The expansion of high-performance computing (HPC), like AI and machine learning, has surged global data consumption. But with it comes heightened energy demand and decarbonization pressure. Data centers must chart a path to grid independence. Join us as we explore the "bring your own power" (BYOP) solution. http://ms.spr.ly/6047lH0CX #UPSsystems #DataCenters #AI #Decarbonization

The expansion of high-performance computing (HPC), like AI and machine learning, has surged global data consumption. But with it comes heightened energy demand and decarbonization pressure. Data centers must chart a path to grid independence. Join us as we explore the "bring your own power" (BYOP) solution. http://ms.spr.ly/6041lMlIv #UPSsystems #DataCenters #AI #Decarbonization

The expansion of high-performance computing (HPC), like AI and machine learning, has surged global data consumption. But with it comes heightened energy demand and decarbonization pressure. Data centers must chart a path to grid independence. Join us as we explore the "bring your own power" (BYOP) solution. http://ms.spr.ly/6048lHLRs #UPSsystems #DataCenters #AI #Decarbonization

Will the hype around AI drive demand for edge computing? The industry consensus seems to be a cautious ‘yes’. Early AI investments have primarily focused on large-scale data centers rather than the edge. But, we can expect to see this change in 2024 and beyond when the implementation of inference on a large scale will see the network on the edge evolve and grow. As industry analysts outline here, inference drives the switch to the edge as it depends more on low latency than other AI models, which can only be delivered close to the end user, at the network edge. There’s another factor at play here, too: sustainability. Data centers at the edge enhance performance and reduce energy consumption – a key focus for telcos. Do you agree we’ll see more edge centers popping up in 2024? https://ow.ly/Nl9u50Qi4bc #AI #GenAI #Edge #EdgeComputing #DataCenter

Increased efficiency has kept electricity consumption stable for decades, but power-intensive AI servers are behind a change in power demand from data centres. Discover what this means for the Sustainable Energy landscape: https://lnkd.in/erC_Z6py #marketingcommunication #sustainableenergy #AI

I am not sure I agree. This analysis assumes the same AI tech we have now, will remain so. My bet is that we will see Future AI "powered by" smaller and significantly more efficient models. This feels like a report written when the first vacuum tubes were invented and folks extrapolating the energy needs for today's computing infrastructure! https://lnkd.in/gMHQsx3S

As we move towards #intelligent #edgedevices, the fusion of AI, edge computing, and edge database management will be central to heralding an era of fast, real-time, and secure solutions. Looking ahead, organizations can focus on implementing sophisticated edge strategies for efficiently and securely managing #AI workloads and streamlining the use of data within their business. #max78000 #max78002 #microcontrollers #mcu