ROI from cloud initiatives remains unclear

30 May 2025

CloudBolt Software has unveiled a revealing new report highlighting a persistent challenge facing many organizations: while most IT leaders express confidence in their organization’s FinOps maturity, they continue to struggle with demonstrating clear return on investment (ROI) from their cloud initiatives.

Titled ‘Performance vs. Perception: The FinOps Execution Gap,’ the report was developed in collaboration with Wakefield Research and surveyed 350 senior IT leaders across diverse industries in the United States to assess the current state of cloud financial operations and cost management practices.

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It’s not just AI: don’t run before we can walk on data connectivity

27 May 2025

Nick Burling, Senior Vice President, Product, Nasuni

Nick Burling, Senior Vice President, Product, Nasuni

The pressure to invest in AI and enhance enterprises’ processes and fuel innovation shows no sign of letting up: McKinsey research earlier this year found that 78% of organisations are using AI in at least one business function, up from 72% in early 2024 and 55% a year earlier.

Pressure for transformation

And in such a competitive landscape, the pressure on company boards to lead change is unrelenting: in IBM research of 2,000 CEOs, nearly two-thirds (64%) acknowledge that ‘the risk of falling behind drives investment in some technologies before they have a clear understanding of the value they deliver.’ Consequently, there is no lack of expectation from boards, and lines of business, for AI-driven business transformation, whether across the enterprise or by individual ‘early adopter’ departments.

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Understanding the real impact of thermal management on GPU reliability

06 May 2025

Bernie Malouin, VP, Design, Process and Technology Engineering, JetCool, A Flex Company

The relentless growth of AI is pushing the boundaries of computing power, and at the heart of these advances lies a quiet but critical struggle: keeping the machines cool.

Take Meta’s Llama 3 405B, for instance. Over the course of 54 days, Meta’s AI infrastructure experienced daily GPU failures. Meta experienced nearly eight unexpected failures a day over this training run, and 58.7% were attributed to GPU failures. Compared with other components (especially CPUs and system memory), it’s clear that AI training puts distinctively intense pressure on the GPUs and as a result, they fail.

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Building sustainability into the heart of the network

05 May 2025

Vivek Gaur, Vice President of Engineering, Colt Technology Services

As the digital economy grows, organisations must consider the environmental sustainability of their digital infrastructure, from networking technologies to data centres.

The total amount of data created, captured and consumed globally is forecast to increase from 149ZB in 2024 to more than 394ZB in 2028. Increasing use of AI, growing video consumption, ongoing digitalisation and a rise in the number of connected devices are contributing to this proliferation of network traffic. Electricity demand from data centres, cryptocurrencies and AI could reach as much as 1,000 Terawatt Hours (TWh) in 2026, compared to 460TWh today.

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