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Energy shortages threaten to restrict 40% of AI data centers by 2027

Network World

The rapid expansion of AI and generative AI (GenAI) workloads could see 40% of data centers constrained by power shortages by 2027, according to Gartner. According to Gartner, AI-focused data centers will consume approximately 500 terawatt-hours (TWh) per year by 2027, nearly doubling their current power consumption, from 260 TWh in 2024.

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Alibaba Cloud is betting on emerging markets with massive price cuts

Network World

Alibaba’s recent move to reduce prices of several cloud services, including compute, storage, and database offerings among others, is seen by experts as a strategy to attract new customers in emerging markets as competing in China heats up. The growth in generative AI, approximately a CAGR of 73.3%

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Map an AI strategy that’s yours, not SAP’s

CIO Business Intelligence

billion by 2027, with overall market growth accelerating from 17.8% In particular, spending on generative AI will surge from 8% of all AI software spending in 2023 to 35% by 2027, Gartner predicts. Beware of escalating AI costs for data storage and computing power. in the same timeframe.

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Accelerating generative AI requires the right storage

CIO Business Intelligence

The World Economic Forum estimates 75% of companies will adopt AI by 2027. In generative AI, data is the fuel, storage is the fuel tank and compute is the engine. All this data means that organizations adopting generative AI face a potential, last-mile bottleneck, and that is storage. trillion per year to the global economy.

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Private cloud makes its comeback, thanks to AI

CIO Business Intelligence

Private cloud providers may be among the key beneficiaries of today’s generative AI gold rush as, once seemingly passé in favor of public cloud, CIOs are giving private clouds — either on-premises or hosted by a partner — a second look. The excitement and related fears surrounding AI only reinforces the need for private clouds.

Cloud 142
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Getting infrastructure right for generative AI

CIO Business Intelligence

For generative AI, a stubborn fact is that it consumes very large quantities of compute cycles, data storage, network bandwidth, electrical power, and air conditioning. As CIOs respond to corporate mandates to “just do something” with genAI, many are launching cloud-based or on-premises initiatives. of AI storage in 2022 to 30.5%

Storage 139
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The impact of AI on edge computing

CIO Business Intelligence

billion in 2027 with a compound annual growth rate (CAGR) of 86.1% over the 2023-2027 forecast period 1. Unlike traditional centralized cloud computing, edge computing brings computation closer to the data source—whether it’s a fleet management, automated industrial machines, drone, or an autonomous vehicle. over 2023 2.

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