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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.

Strategy 264
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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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9 steps to take to prepare for a quantum future

Network World

Adversaries that can afford storage costs can vacuum up encrypted communications or data sets right now. According to Gartner, companies should have started on their crypto agility police by the of 2024, start implementing it in 2024 and 2025, and have it in production by the end of 2027.

Research 505
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CIOs are rethinking how they use public cloud services. Here’s why.

CIO Business Intelligence

By moving applications back on premises, or using on-premises or hosted private cloud services, CIOs can avoid multi-tenancy while ensuring data privacy. Secure storage, together with data transformation, monitoring, auditing, and a compliance layer, increase the complexity of the system. Adding vaults is needed to secure secrets.

Cloud 349
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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. of the overall AI server market in 2022 to 36% in 2027. In storage, the curve is similar, with growth from 5.7% of AI storage in 2022 to 30.5%

Storage 349
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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. In applications where real-time responsiveness is critical, minimizing latency is paramount. This resilience is crucial for applications that cannot afford interruptions. billion in 2027. Resilience.

Storage 264
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Oak Ridge seeks next-level supercomputer to blow away Frontier

Network World

This month ORNL issued a massive request for proposal for OLCF-6 , a new machine, now dubbed Discovery, to be delivered by late 2027 or early 2028. The Technical Requirements document alone is 69 pages. Oh, yes — and it must be AI-friendly, of course. OLCF provides a series of benchmarks whose results must be reported in proposals.

Energy 434