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The Data Center Rundown

Jun 12, 2026

 
Financing AI infrastructure expansion

Amazon has secured a $17.5 billion loan from a consortium of lenders including Citibank, Bank of America, and JPMorgan Chase to fund its extensive AI data center buildout.

Read at Data Center Dynamics→

Wall Street is financing the build-out of artificial intelligence infrastructure through bonds that bypass the scrutiny of the Securities and Exchange Commission.

Read at Bisnow→

 

Do you believe AI infrastructure financing should face SEC oversight?

Keel Infrastructure has closed on $458 million in convertible senior notes, intending to use the $445.4 million in net proceeds to expand and accelerate its AI data center developments.

Read at Data Center Dynamics→

Blue Owl is providing $975 million in financing to Affinius Capital and Corscale for a fully leased data center project in Northern Virginia.

Read at Data Center Dynamics→

Oracle's substantial investment in AI data centers is causing investor concern regarding capital expenditure.

Read at The Register→

 
Grid stability and power constraints

The significant power consumption of artificial intelligence data centers is often exacerbated by workload volatility, forcing facilities to run secondary tasks that inflate energy usage, infrastructure demands, costs, and pressure on the power grid.

Read at Data Center Knowledge→

 

Should AI workloads be optimized to reduce data center energy use?

Bill Gates cautioned major technology companies against shifting artificial intelligence data center electricity costs onto households, as local opposition rises across the United States.

Read at TechRepublic→

 

Should households subsidize Big Tech's AI data center electricity costs?

New York is navigating its data center expansion by considering a legislative moratorium alongside a significant Public Service Commission proceeding to balance growth with essential grid reforms.

Read at Data Center Knowledge→

The expansion of data centers may encounter significant power limitations by the year 2030.

Read at The Register→

Australia's energy operator has flagged potential power grid stability risks due to the rapid expansion of artificial intelligence data centers and increasing compute demand across the Asia-Pacific region.

Read at TechRepublic→

 
Emerging data center hardware innovations

A new AI-ready power and AI factory platform is designed to accelerate AI factory deployment through a software-defined power architecture, enhancing scalability and future-proofing infrastructure.

Read at Data Center Dynamics→

Co-packaged optics offer potential gains in efficiency and performance for data centers, but significant challenges must be overcome before they can achieve widespread adoption.

Read at Data Center Knowledge→

Duos Edge AI is hosting an open house at the Hereford Edge Data Center to showcase its edge artificial intelligence capabilities.

Read at Data Center POST→

 
AI lab business strategies

OpenAI's potential initial public offering presents numerous opportunities for advancing artificial intelligence, but enterprises are advised to maintain strategic flexibility, avoid vendor lock-in, and prioritize adaptable AI strategies.

Read at Data Center Knowledge→

Forrester predicts that OpenAI, a leader in artificial intelligence, could face a significant decline in market relevance, similar to BlackBerry's fate.

Read at The Register→

Anthropic is actively working to promote and secure adoption of its AI model, Claude, among nonprofit organizations.

Read at The Register→

 

The ongoing growth in digital infrastructure presents both new challenges and emerging opportunities for the industry.

Read at Data Center POST→

 

Lessons regarding resilience in data center design and operations are drawn from the "Nordic Data Center Rulebook" and theatrical principles.

Read at Data Center POST→

 
Chatter
The view from Reddit
“GPU power density is now the constraint nobody planned for, how are you actually managing it?”

A researcher is soliciting firsthand accounts from data center operators about managing GPU power density as the primary constraint for AI infrastructure growth, inquiring about utilization metrics, power limit breaches, cost reduction strategies, and the practical application of power capping.

Read at r/datacenter→

 

Are you actively managing GPU power density in your data center?

“I think I fucked up my job offer by not paying attention”

An individual is panicking after realizing they missed the expiration date for an L4 AWS job offer due to distractions from moving, and is seeking urgent advice on how to address the situation with their recruiter.

Read at r/datacenter→

“Cancelling RingCentral Took Over an Hour and Felt Deliberately Designed to Exhaust Customers”

A user recounts an exceptionally frustrating hour-long ordeal attempting to cancel RingCentral services, citing deliberate delays, retention tactics, and system glitches that suggest the company's processes are engineered to exhaust customers.

Read at r/sysadmin→

 

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