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The data center chillers market is projected to exceed six billion dollars by 2035, indicating significant growth driven by the expanding digital infrastructure landscape.
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Read at Data Center POST→
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Two-phase liquid cooling is presented as the emerging standard for data centers, supporting next-generation artificial intelligence infrastructure.
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Read at Data Center Dynamics→
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Should data centers prioritize universal liquid cooling for future AI infrastructure?
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Excess heat generated by Equinix data centers in Milan, Italy, will be used to heat over 21,000 homes, improving sustainability.
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Read at Data Center Dynamics→
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Steve Loeb of Eaton discusses the company's strategic priorities for 2026 and 2027, focusing on artificial intelligence-driven infrastructure, integrated power and cooling solutions, modular building blocks, and the delivery of resilient, high-density data centers.
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Read at Data Center Dynamics→
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Samsung Heavy Industries plans to commercialize a floating AI data center by 2028, addressing growing constraints in power, land, and cooling for AI infrastructure.
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Read at TechRepublic→
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Another major data center project in Virginia has been halted, intensifying the focus on site selection challenges like permitting and community opposition, beyond just power needs.
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Read at Data Center Knowledge→
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Community resistance to AI data centers is escalating, with project failures in Virginia indicating that local acceptance is becoming a critical factor in site selection for AI infrastructure.
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Read at Data Center Knowledge→
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Can community backlash halt the AI data center boom entirely?
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AI data handling and regulation
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Meta's Cheyenne AI data center project is under increased scrutiny due to the discovery of rare bacteria in local reclaimed irrigation water, raising questions about facility wastewater regulations.
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Read at TechRepublic→
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Anthropic is removing its covert code designed to detect Chinese competitors from its systems.
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Read at The Register→
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To maximize the value of data and artificial intelligence, organizations are advised to break down silos and integrate information from data lakes and lakehouses.
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Read at The Register→
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Canonical Managed Kubeflow is now available on Microsoft Azure, offering Google Cloud's open-source machine learning platform to Azure users.
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Read at The Register→
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“I don't know how you all do it.”
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After a decade in IT, a system engineer feels like an amateur, struggling to keep up with new technologies like Kubernetes and cloud platforms, experiencing burnout that prevents further learning, and fearing job insecurity due to perceived inadequacy.
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Read at r/sysadmin→
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“Words of encouragement”
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An applicant shares their demoralizing experience of being rejected by Google's Data Center program and AWS after a lengthy and delayed interview process, highlighting the frustration of having to wait a full year to reapply.
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Read at r/datacenter→
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“Our security alerts are just false 99% of the time”
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The author laments the overwhelming volume of false security alerts, leading to a culture of ignoring them, which recently caused a delay in identifying a genuine incident.
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Read at r/sysadmin→
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Should security teams overhaul alert systems to reduce false positives?
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