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IDC predicts worldwide data center energy consumption will increase from just over 374TWh in 2023 to almost 814TWh in 2027. AI is a major contributor to this rising demand, given the higher power usage of GPUs and the higher utilization of training and tuning models. IDC expects AI datacenter energy consumption to rise to 18% by 2027.
Private AI uses enterprise datacenter infrastructure and AI framework capabilities to enable enterprise-specific AI/ML workflows. Whether data center assets are hosted in interconnection providers or in enterprise-owned facilities, private AI offers numerous advantages, including enhanced data privacy, tailored solutions, compliance with regulatory standards, and, most importantly, control over AI initiatives.
Shell’s Houston data center was already designed for energy efficiency, drawing from 100% renewable power supplied by Shell Energy North America, supporting its high-priority agenda of sustainability. The challenge for Shell’s HPC team continued to be how to drive down its Power Usage Effectiveness (PUE) ratio while simultaneously boosting performance.
Shell’s Houston data center was already designed for energy efficiency, drawing from 100% renewable power supplied by Shell Energy North America, supporting its high-priority agenda of sustainability. The challenge for Shell’s HPC team continued to be how to drive down its Power Usage Effectiveness (PUE) ratio while simultaneously boosting performance.
Initially focusing on undergraduate students, the AI Makerspace aims to democratize access to computing resources typically reserved for researchers or technology companies. Students will access the cluster online as part of their coursework, deepening their AI skills through hands-on experience. The Makerspace will also better position students after graduation as they work with AI professionals and help shape the technology’s future applications.
Initially focusing on undergraduate students, the AI Makerspace aims to democratize access to computing resources typically reserved for researchers or technology companies. Students will access the cluster online as part of their coursework, deepening their AI skills through hands-on experience. The Makerspace will also better position students after graduation as they work with AI professionals and help shape the technology’s future applications.
Learn how HPC went from the domain of academic computer centers and government labs and changed enterprise computing systems. AI’s adoption needs new infrastructure. The problem is that businesses are spending hundreds of millions of dollars on GPU-based systems, and they’re only getting low (25% in some cases) performance and availability.
This whitepaper explains how to support new HPC and AI initiatives in organizations of all sizes across all industries. These initiatives are complex and require a mix of processor types, workload accelerators, and high-performance storage and interconnect technology not commonly found in enterprise IT.
Powerful new digital technologies often pose a "best of times, worst of times" conundrum for CIOs, and generative AI fits that pattern. Generative AI offers myriad opportunities to businesses, from highly personalized marketing to knowledge management to automating conversational applications for customer service and even software development.