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AI market evolution: Data and infrastructure transformation through AI

CIO

AI a primary driver in IT modernization and data mobility AI’s demand for data requires businesses to have a secure and accessible data strategy. Data mobility across data centers, cloud, and edge is essential, but businesses face challenges in adopting edge strategies.

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Gartner projects major IT spending increases for 2025

CIO

growth this year, with data center spending increasing by nearly 35% in 2024 in anticipation of generative AI infrastructure needs. Data center spending will increase again by 15.5% in 2025, but software spending — four times larger than the data center segment — will grow by 14% next year, to $1.24

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Software infrastructure 2.0: a wishlist

Erik Bernhardsson

Software infrastructure (by which I include everything ending with *aaS, or anything remotely similar to it) is an exciting field, in particular because (despite what the neo-luddites may say) it keeps getting better every year! Anyway, I feel like this applies to like 90% of software infrastructure products. Ephemeral resources.

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HPE and Danfoss put excess data center heat to use

CIO

Data centers are hot, in more ways than one. Hewlett Packard Enterprise (HPE) and Danish engineering company Danfoss have announced a partnership to help mitigate the issues: an off-the-shelf heat recovery module branded HPE IT Sustainability Services – Data Center Heat Recovery. Any capture is good.

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Warren gets $1.4 million to help local cloud infrastructure providers compete against Amazon and other giants

TechCrunch

Started as a side project by its founders, Warren is now helping regional cloud infrastructure service providers compete against Amazon, Microsoft, IBM, Google and other tech giants. AWS remains in firm control of the cloud infrastructure market.

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Delivering better business outcomes for CIOs

CIO

However, enterprise cloud computing still faces similar challenges in achieving efficiency and simplicity, particularly in managing diverse cloud resources and optimizing data management. AI models rely on vast datasets across various locations, demanding AI-ready infrastructure that’s easy to implement across core and edge.

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Pliops lands $100M for chips that accelerate analytics in data centers

TechCrunch

Part of the problem is that data-intensive workloads require substantial resources, and that adding the necessary compute and storage infrastructure is often expensive. For companies moving to the cloud specifically, IDG reports that they plan to devote $78 million toward infrastructure this year.