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Eagle Point Credit Management is providing about $1.3 billion to help build a large Texas data center that will house Anthropic. The loan is part of a much larger financing package supporting the infrastructure behind the AI boom.
Relativity Networks raised $22 million through a SAFE and secured a $40 million order from a large cloud provider. The Orlando-based company is developing fibre technology intended to accelerate connectivity inside AI data centres.
Big Tech companies are increasing local public-relations efforts to win support for the data centres needed to expand AI infrastructure. Campaigns reportedly include town halls, tax concessions, and sponsorship of community groups as opposition grows across the United States.
NVIDIA is reportedly connecting GPU-owning AI companies with Nordic data-center operators that have available power, land, and server capacity. The strategy expands NVIDIA’s role from chip supplier to infrastructure orchestrator, helping customers deploy GPUs and secure future chip demand.
Anthropic plans to let business customers retain data for its most capable AI models on their own cloud infrastructure. The planned safety system, expected later this year, would still require a 30-day retention period while moving storage control to customers.
Nebius Group plans to raise $4.5 billion through convertible bonds to build artificial intelligence data centres. The offering includes $2.75 billion of notes maturing in 2030, with the remainder issued in a second tranche.
Eagle Point Credit Management is providing roughly $1.3 billion in private credit for a large Texas data center tied to Anthropic. The financing gives the investment firm a significant role in a major AI infrastructure project.
Oracle 創辦人 Larry Ellison 正把公司從高利潤軟體企業，轉型為重資產 AI 基礎設施供應商，押注 OpenAI 等客戶對 GPU 與資料中心算力的長期需求。文章分析，Oracle 已大幅增加資本支出、借款與長期租賃承諾，雖然雲基礎設施收入快速成長，但也面臨現金流、信用評級與客戶合約履行風險。
As industrial systems, infrastructure, robots, and AI agents gain the ability to change physical conditions, cybersecurity must protect actions and outcomes—not only data and access. The article argues that future defenses need to evaluate whether an authorized action is appropriate for the current environment, state, and safety boundaries.
AI data startup Micro1 has reached a $500 million gross run rate as demand for AI training data accelerates. The growth highlights expanding opportunities for data providers supporting model development.