INTELLIGENT GREEN TECHNOLOGY
Pure Storage survey reveals organizations are unprepared for Energy requirements and data demands of AI
A total of 89 % of IT buyers found ESG goals more difficult to meet as a result of upgrades to their IT infrastructure for AI adoption .
P ure Storage , in partnership with Wakefield Research , released a new report identifying the hurdles organizations across industries face in the adoption of Artificial Intelligence ( AI ) and unveiling the often overlooked energy requirements of this advanced technology . The new report , Drivers of Change : Meeting the Energy and Data Challenges of AI Adoption , reveals the importance of reassessing data infrastructure to truly reap the benefits of AI , keep energy costs in line and stay on track with corporate environmental goals .
The survey , fielded among 500 IT buyers at companies of 500-plus employers , found that :
• The need for computing power is surging , driven by AI adoption : For 88 % of those who have adopted AI , the need for computing power is up dramatically . Nearly half ( 47 %) have had to double their computing power or more since adopting AI .
• Organizations did not anticipate the energy demands of AI : 73 % of IT buyers were not completely prepared for the energy requirements of AI .
• Energy consumption is just one AI burden : For 73 %, AI requires or will require data management upgrades of some kind . Among specific upgrades : data management tools ( 48 %), data
management processes ( 46 %) and data storage infrastructure ( 46 %).
• As a result , nearly all ( 96 %) have already or plan to update their IT infrastructure : 29 % of IT buyers say AI has or will require a complete overhaul .
• These challenges have set back businesses ’ sustainability goals : 89 % have found ESG goals more difficult to meet as a result of upgrades to their IT infrastructure after AI adoption . However , 60 % of those who have already adopted AI technologies ( or plan to in the next 12 months ) stated they invested in or will invest in more energy-efficient hardware to meet ESG goals .
“ Planning for change and ensuring flexibility are key to navigating AI adoption . As power and data demands increase exponentially in the age of AI , investing in and deploying the right AI-ready data infrastructure is not only essential to effective deployment and energy efficiency , but to driving the most value out of AI projects . The report offers important insights for IT leaders on both the consequences of failing to plan for the changes required to implement AI , as well as the benefits of being prepared for AI ’ s impact on infrastructure ,” said Rob Lee , Chief Technology Officer , Pure Storage .
Industry significance
AI adoption is on the rise across industries , yet most organizations lack the necessary infrastructure to handle the highperformance data demands and energy requirements essential for maximizing its benefits . This limitation poses a challenge to the successful implementation of AI to support critical corporate initiatives , including those aimed at achieving environmental goals . Nearly all IT buyers feel pressure to reduce their carbon footprint . In fact , most agree that meeting IT goals is impossible without properly preparing IT infrastructure to support AI .
The demand for smarter infrastructure has never been more pressing . Legacy systems often cannot support the massive AI data pipelines required to get the most from Machine Learning . As AI continues to accelerate in adoption , IT teams require an efficient , reliable and high-performance infrastructure to ensure effective deployment . •
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