NEWS
Businesses unprepared for AI energy demands
Organisations are unprepared for the massive energy requirements and data demands of artificial intelligence (AI), a report released by Pure Storage, in partnership with Wakefield Research, has found. The report, ‘ Drivers of Change: Meeting the Energy and Data Challenges of AI Adoption ,’ revealed 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 of 500 IT buyers at companies with 500+ employers across the US and Europe, found that: l F or 88% of those who have adopted AI, the need for computing power is up dramatically and 47% have had to double their computing power or more since adopting it l 73% of IT buyers were not completely prepared for the energy requirements of AI l F or 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%) l A s a result, 96% have already or plan to update their IT infrastructure, with 29% of IT buyers saying AI has or will require a complete overhaul l 8 9% have found ESG goals more difficult to meet because 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. AI adoption is on the rise across industries, yet most organisations lack the necessary infrastructure to handle the high-performance data demands and energy requirements essential for maximising 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. “Planning for change and ensuring flexibility are key to navigating AI adoption,” said Rob Lee, chief technology officer, Pure Storage. “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.”
DRIVERS OF CHANGE: Meeting the Energy and Data Challenges of AI Adoption The age of artificial intelligence (AI) has sparked growing excitement across industries with new tools like ChatGPT promising a competitive edge. However, as organizations feel the push to integrate AI into their operations, their supporting infrastructure may not set them up for success.
Most organizations lack the necessary infrastructure to handle the high-performance data demands and energy requirements essential for maximizing AI’s benefits. In fact, legacy systems often cannot support the massive AI data pipelines required to get the most from machine learning models. And while AI brings immense promise, its impact on energy requirements can be surprising. These hidden costs of AI pose a challenge to the successful implementation of critical corporate initiatives, including those aimed at achieving environmental goals. As AI continues to accelerate in adoption, IT teams require a meaningful data strategy to ensure they can efficiently and effectively operationalize AI through the right infrastructure.
Research Findings
The challenge for IT leaders is not just about creating a durable AI architecture; it’s also about embracing AI in a way that aligns with their priority ESG objectives. To help pinpoint the hurdles of AI adoption in parallel to organizational sustainability goals, Pure Storage has partnered with Wakefield Research to survey more than 500 IT buyers at companies of 500 employees or more in four major global markets (US, UK, France, Germany). The survey found that for 88% of those who have adopted AI, the need for computing power has surged dramatically. In fact, nearly half (47%) have had to increase their computing power by double or more since adopting AI. Moreover, nearly 3 in 4 IT buyers (73%) whose companies have implemented AI were not completely prepared for the energy requirements .
IT BUYERS (73%) WHOSE COMPANIES HAVE IMPLEMENTED AI WERE NOT COMPLETELY PREPARED FOR THE ENERGY REQUIREMENTS. 3 in 4
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Rob Lee chief technology officer
purestorage.com
Vertiv Introduces Vertiv™ DynaFlex BESS
Vertiv has launched the Vertiv™ DynaFlex BESS, a battery energy storage system designed to enable energy independence and bolster sustainability efforts at mission critical facilities. DynaFlex BESS provides flexibility in the use of utility power and is a critical step in the deployment of a dynamic power architecture.
The system allows organisations to leverage the capabilities of hybrid power systems that include solar, wind, hydrogen fuel cells and other forms of alternative energy. The lithium-ion batteries in the DynaFlex BESS provide utility-scale energy for long duration support, allowing seamless and repeated transitions between energy sources. When paired with the optional Vertiv™ DynaFlex EMS (Energy Management System), theDynaFlex BESS enables advanced energy management strategies, such as demand management and sharing or selling energy back to the grid that can result in a reduction of utility energy consumption and costs and potentially generate revenue for the parties involved.
Physical Energy Storage System
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