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Virginia forfeited $1.6 billion in state tax revenue during fiscal year 2025 due to datacenter tax exemptions, a figure that has more than doubled year-over-year amid rapid AI-driven construction.
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Read at The Register→
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The ambitious plan for the world's largest artificial intelligence data center championed by Kevin O'Leary faces significant scrutiny regarding its feasibility due to mounting regulatory, financial, and community obstacles.
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Read at TechRepublic→
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Do you believe Mr. Wonderful's proposed AI data center project will ultimately be built as promised?
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Project Stargate has advanced into execution during 2025, with OpenAI initiating the assembly of a multi-gigawatt artificial intelligence infrastructure portfolio globally, where power availability, capital structures, and delivery capability are now the defining risks for large-scale deployment.
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Read at Data Center Frontier  →
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As data center pipelines become pre-sold and power densities increase, competitive differentiation within the colocation market in 2026 is shifting from facility space to the certainty and speed of power delivery.
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Read at Data Center Knowledge→
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AI data center infrastructure requirements
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The interplay of power requirements, political dynamics, and artificial intelligence advancements is projected to significantly influence the trajectory of data center development in 2026.
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Read at Bisnow→
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Looking toward key developments in artificial intelligence infrastructure, the data center sector must focus strategic efforts on ensuring adequate power supply, efficient cooling solutions, and robust outage prevention mechanisms for the upcoming year.
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Read at Data Center Knowledge→
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In 2026, leading hyperscalers will accelerate their artificial intelligence-focused construction plans while simultaneously managing challenges related to grid power limitations, extended equipment lead times, local opposition, data sovereignty mandates, and sustainability objectives.
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Read at Data Center Knowledge→
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Vertiv is making a $1 billion investment in expanding its liquid cooling portfolio through the acquisition of PurgeRite, a strategic move necessitated by the escalating liquid cooling demands of the ongoing artificial intelligence competition.
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Read at Data Center Knowledge→
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portable datacenter
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A startup named Odinn has developed a portable server enclosure containing four Nvidia H200 GPUs, designed for users who need to transport a significant AI acceleration capacity, albeit weighing 77 pounds.
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Read at The Register→
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it governance best practices
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Best practices for information technology governance in 2026 focus on aligning technology initiatives with core business objectives, effectively managing risk, optimizing resource allocation, and employing established frameworks like Cobit, ITIL, and NIST to enhance compliance and efficiency.
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Read at TechTarget IT Infrastructure→
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cloudflare bgp theory
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Cloudflare has refuted theories suggesting that Border Gateway Protocol (BGP) anomalies preceded a kinetic action against Venezuela, attributing the observed routing issues to standard network irregularities.
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Read at The Register→
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“Does anyone else feel like "Rack and Stack" is becoming the least of our worries?”
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A veteran technician laments the shift in daily responsibilities from traditional IT tasks to complex mechanical, electrical, and plumbing concerns driven by extreme power density and the mandatory adoption of liquid cooling for GPU clusters.
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Read at r/datacenter→
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“Thermal tech is becoming mission critical. Are we underestimating how fast AI workloads are stressing cooling envelopes?”
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Following a major trading outage attributed to cooling issues, the author posits that the transient, high-density heat generated by AI compute is fundamentally shifting thermal engineering from a secondary concern to a mission-critical discipline requiring energy storage solutions.
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Read at r/datacenter→
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Are energy storage solutions a mandatory requirement for managing next-generation AI compute density?
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“Are you allowing any AI tools to touch production data at work?”
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An engineer observes a disconnect between strict corporate policy banning generative AI tools and the reality of employees secretly using them, prompting a search for established governance models.
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Read at r/sysadmin→
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Should companies enforce strict bans on employee use of generative AI tools with production data, regardless of perceived risk?
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