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Digital Realty has finalized a $3.25 billion data center fund, signaling an increased reliance on private capital sources for its strategy.
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Read at Bisnow→
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Increased transparency requirements and operational concerns are raising alarms within the expanding commercial mortgage-backed securities market related to data centers.
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Read at Bisnow→
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Will mandated transparency in CMBS deals resolve operational concerns in the data center market?
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Aligned has secured $2.58 billion in credit facilities, supported by six different assets, intended to finance its ongoing data center build-out across the United States.
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Read at Data Center Dynamics→
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Nebius is planning the development of a 310-megawatt artificial intelligence data center facility in Lappeenranta, Finland, with initial capacity projected to be operational by 2027.
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Read at Data Center Dynamics→
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A French energy company is planning a 60-megawatt data center development in Finland, integrating renewable energy sources through co-location with solar and battery storage systems.
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Read at Data Center Dynamics→
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California
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Digital Realty has successfully closed its inaugural hyperscale data center fund, raising $3.25 billion designated for investments in major United States metropolitan areas, including Virginia, California, and Texas.
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Read at Data Center Dynamics→
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NVIDIA is expanding its edge inference capabilities through strategic partnerships with Akamai, Comcast, AT&T, and T-Mobile to distribute its hardware more widely.
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Read at Data Center Richness→
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Google DeepMind and Agile Robots are collaborating to redefine artificial intelligence data center demand as artificial intelligence applications move into physical operational environments, increasing pressure on edge infrastructure and data pipelines.
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Read at Data Center Knowledge→
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South Korean startup Rebellions obtained $400 million in funding, signaling a market trend toward deploying more efficient artificial intelligence inference solutions within data center operations as the company plans its expansion into the United States.
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Read at Data Center Knowledge→
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“The Meta SEV1 actually scared me. Not because of Meta. Because of us.”
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The author expresses profound anxiety over an internal data exposure incident caused by an AI agent at Meta, realizing their own organization faces similar risks from engineers using unapproved generative AI tools for debugging.
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Read at r/sysadmin→
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Is internal data exposure caused by unapproved AI tools a systemic risk for all tech companies now?
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“A Tale of a Major Outage Caused by Me”
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After migrating file servers, an admin caused a two-day outage by failing to select the option to rehydrate deduplicated files during transfer, only to be met by a supportive VP who used the crisis to teach a lesson about imperfection.
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Read at r/sysadmin→
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“How are you dealing with AI requests from non technical users who were told it works from AI?”
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An IT professional is bewildered by a C-suite-driven request to integrate a complex, AI-generated stack of sales tools, including GoHighLevel and Instantly.ai, that seems technically incoherent with existing infrastructure.
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Read at r/sysadmin→
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An examination of MedOne's infrastructure strategy in Israel reveals differences in the design and construction approaches for their data centers compared to industry standards.
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Read at Data Center POST→
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While memory-maker shares have declined and RAM prices have eased due to efforts like Google's memory-reduction work, the ongoing high cost of memory continues to impact the broader technology industry, including server vendors and consumer device sales.
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Read at The Register→
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Due to the increasing sprawl, layering, and rapid evolution of modern networks, manual human operations are becoming inadequate for tracking the volume of users, devices, applications, and threats, necessitating the adoption of self-driving network solutions.
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Read at The Register→
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Is manual network management already obsolete given current network sprawl and complexity?
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The industry faces a significant challenge concerning the procurement and deployment of one gigawatt of power capacity necessary to meet the escalating demands of modern data center facilities.
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Read at Data Center POST→
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Atmospheric water harvesting is presented as a potential sustainable solution to address the growing backlash against water consumption by artificial intelligence data centers.
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Read at TechRepublic→
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Can atmospheric water harvesting realistically mitigate the water consumption backlash facing AI centers?
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Two European alliances are collaborating to advance open direct current distribution standards with the goal of improving energy efficiency within data centers by eliminating redundant power conversions.
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Read at Data Center Knowledge→
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ZincFive has achieved recognition from TIME GreenTech for the third consecutive year, highlighting their contributions to sustainable technology.
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Read at Data Center POST→
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Exowatt is introducing a novel approach to powering data centers using thermal solar modules optimized for efficient power generation and extended energy storage duration.
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Read at Data Center Richness→
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To support the gigawatt-scale demands of emerging artificial intelligence campuses, high-temperature superconducting wire, previously a niche technology, is now being evaluated as a critical solution for optimizing power delivery, distribution, and monetization within the modern data center environment.
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Read at Data Center Frontier  →
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Should high-temperature superconductors be prioritized over efficiency gains from DC power for AI scaling?
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