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The Data Center Rundown

Jul 1, 2026

 
AI data center power and cooling

This article advises on developing a cooling strategy for next-generation artificial intelligence by aligning thermal architecture with future demands in graphics processing unit density and performance.

Read at Data Center Dynamics→

Firmus Technologies plans a significant 360MW Nvidia-powered AI data center in Batam, Indonesia, to meet the increasing demand for AI compute capacity in the Asia-Pacific region.

Read at TechRepublic→

Structure Research forecasts that AI data center capacity will reach 150 gigawatts by 2030, indicating substantial growth in the artificial intelligence computing sector.

Read at Data Center POST→

 

Will AI data center capacity truly reach 150 GW by 2030?

Addressing AI's power bottleneck, a new industry coalition is forming to establish a unified strategy for powering next-generation data centers.

Read at Data Center Knowledge→

 

Should industry coalitions prioritize solving data center power bottlenecks for AI?

Industrialized construction methods are being employed to scale data center builds for the artificial intelligence era, though challenges persist in power, supply chain, and workforce availability.

Read at Data Center Richness→

 

Digital Realty has acquired Blackstone's stake in three Virginia data centers for $3.5 billion, gaining full ownership of 288MW of capacity leased to three clients.

Read at Data Center Dynamics→

More coverage at Bisnow →

 
AI economic and market risks

The compute factory model challenges traditional data center valuation, with offtake duration and GPU hardware cycles becoming primary value drivers over standard underwriting.

Read at Global Data Center Hub→

According to the Bank for International Settlements (BIS), the potential popping of the artificial intelligence bubble could lead to a global economic downturn.

Read at The Register→

The OCI MSA has not effectively addressed the challenges associated with scaling artificial intelligence deployments.

Read at The Register→

LM Funding is planning to repurpose its Bitcoin mining sites in Oklahoma and Mississippi to support artificial intelligence and high-performance computing workloads.

Read at Data Center Dynamics→

 

Should Bitcoin mining sites pivot to AI and HPC workloads?

AI agents are identified as both a cause of escalating database sprawl and a potential solution to manage it.

Read at The Register→

 

Onsemi has acquired Synaptics for $7 billion in an all-stock transaction to accelerate the development of technologies supporting physical artificial intelligence.

Read at Data Center Dynamics→

 

Digital Realty acquired Blackstone's data center stakes for $3.5 billion, aiming to expand its footprint amid AI demand while potentially indicating Blackstone's strategic shift.

Read at Data Center Knowledge→

More coverage at Data Center Knowledge →  Data Center Knowledge →  Data Center Knowledge →  Data Center Knowledge →  Data Center Knowledge →  Data Center Knowledge →  Data Center Frontier →

 

Researchers have demonstrated that altering the mathematical approaches used in artificial intelligence could significantly reduce the hardware demands of AI systems.

Read at The Register→

 
Chatter
The view from Reddit
“Business Storage for Thickheads Please help”

A business owner, admitting to being a 'thickhead' regarding data solutions, seeks a simple, reliable server or storage replacement for their glitchy physical server, prioritizing ease of use for opening and saving files.

Read at r/sysadmin→

“What is Google looking for for their data center facilities technicians?”

An experienced critical environment professional with over 10 years in the field, including navy nuke and data center work, is seeking guidance on what Google specifically looks for in data center facilities technician candidates after multiple rejections.

Read at r/datacenter→

“Trying to break into data center work”

A 21-year-old with multiple telecommunications and networking certifications and experience is seeking advice on breaking into data center roles after being rejected by major tech companies, despite living near a proposed data center.

Read at r/datacenter→

 

OpenAI's new Jalapeño chip signifies a commitment to artificial intelligence infrastructure, though achieving cost savings and independence from Nvidia hinges on scaling production.

Read at TechRepublic→

 

Water is emerging as a critical constraint for AI infrastructure, on par with power, influencing site selection, cooling, and logistics, as exemplified by the Emergence Water and Nimbus partnership.

Read at Data Center Frontier  →

 

Is water becoming the next critical constraint for AI infrastructure after power?

 

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