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The Data Center Rundown

Jan 12, 2026

Emerging topics we picked up on in the 60 Data Center articles we scanned this week:

  • xAI, GridFree, and SoftBank accelerate plans for multi-gigawatt power sites and infrastructure portfolios
  • JLL projects $3 trillion investment supercycle with global capacity hitting 200GW by 2030
  • Vertiv commits $1B to liquid cooling through PurgeRite acquisition as AI heat loads stress traditional envelopes

Read the full Week in Review →

 
Tech giants securing AI energy

Meta has finalized major nuclear energy agreements with TerraPower, Oklo, and Vistra to secure clean power supplies necessary for its multibillion-dollar expansion plans centered around AI-driven data centers.

Read at Data Center Knowledge→

 

Should major tech companies exclusively commit to nuclear power sources for future AI infrastructure expansion?

The substantial $1 billion investment by OpenAI and SoftBank into SB Energy underscores the growing trend of technology companies aggressively securing dedicated energy resources to fuel massive AI data center deployments.

Read at Data Center Knowledge→

 

Brain-Inspired Supercomputers

New research from Sandia National Laboratories demonstrates that neuromorphic computers utilizing Intel's neurochips are effective at solving complex partial differential equations, suggesting a pathway toward highly efficient supercomputing architectures.

Read at The Register→

 
AI chip market competition

At CES 2026, AMD teased its next-generation MI500-series AI accelerators, projecting a 1,000x performance uplift over the MI300X and unveiling the Helios compute tray for a 2026 launch.

Read at The Register→

Nvidia used CES to emphasize its dominance in AI hardware by detailing next-generation components based on the Vera Rubin architecture, shifting the focus of the consumer electronics show towards server silicon.

Read at The Register→

At CES 2026, AMD introduced new Instinct GPU additions specifically targeting the data center market to provide enterprise alternatives aimed at challenging Nvidia's dominance in on-premises artificial intelligence compute infrastructure.

Read at Data Center Knowledge→

The graphics processing unit leader, Nvidia, is solidifying its commanding presence in the artificial intelligence data center sector with the launch of its new Rubin platform, which incorporates six novel chips.

Read at Data Center Knowledge→

 

Copper Supply Peak

Analysts project that global copper production is set to reach its peak output within this decade, a critical timing issue given the increasing material demands driven by worldwide electrification efforts.

Read at The Register→

 

Should immediate efforts focus on massive copper recycling initiatives given predicted supply peaks?

 
Edge AI infrastructure expansion

The migration of artificial intelligence workloads to the water's edge introduces significant, transformative changes across the industry.

Read at Data Center POST→

Duos Edge AI has successfully deployed a new edge data center facility in Abilene, Texas.

Read at Data Center POST→

 
Chatter
The view from Reddit
“How I nuked the network at a small gaming facility with one line.”

A junior technician recounts the harrowing experience of accidentally erasing a crucial VLAN via a simple command on a Cisco switch, only to discover the entire site network was dependent on a poorly configured VTP environment left by prior consultants.

Read at r/sysadmin→

“HP Laptop had no thermal paste from the factory”

An IT support professional recounts discovering that a brand-new, high-spec HP laptop was severely underperforming due to a complete absence of thermal paste on the CPU, a manufacturing oversight they suspect might affect other deployed units.

Read at r/sysadmin→

“At some point in the past 10 years, configuration management went from open-source, to mostly paid/gatekept solutions...”

An IT professional observes with dismay that major configuration management tools like Salt, Puppet, and Chef have transitioned under corporate ownership (Broadcom, Perforce, AI firms), leading to concerns over future licensing demands, prompting a search for viable, enduringly free alternatives like Ansible or Capistrano.

Read at r/sysadmin→

 

Do you actively avoid adopting major configuration management tools due to recent corporate acquisitions?

 

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