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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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AI dominates Gartner’s 2025 predictions

CIO Business Intelligence

By 2027, 70% of new contracts for employees will include licensing and fair usage clauses for AI representations of their personas. By 2027, 70% of healthcare providers will include emotional-AI-related terms and conditions in technology contracts or risk billions in financial harm.

Energy 338
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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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Nvidia details its GPU, CPU, and system roadmap for the next three years

Network World

Nvidia CEO Jensen Huang shared previously unreleased specifications for its Rubin graphics processing unit (GPU), due in 2026, the Rubin Ultra coming in 2027, and announced the addition of a new GPU called Feynman to the mix for 2028. Its extreme scale up. Each rack is 600 kilowatts, 2.5

System 259
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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 465
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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.

Storage 246
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Startup Fractile tackles AI inference bottlenecks with new chip design

Network World

Goodwin founded Fractile in 2022 on the premise that there was an untapped market for chips that attack the AI inference performance bottleneck problem by combining storage and compute on one chip. If it all comes together, we should be sending a chip by the end of next year, on the road to a shipping product in 2027.

Hardware 273