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The Data Center Rundown

Jan 22, 2026

 
AI data center market expansion

Market analysis forecasts suggest that the total value of the artificial intelligence data center market is expected to surpass USD 1.98 trillion by the year 2034.

Read at Data Center POST→

Joe Reele observes that the proliferation of artificial intelligence is fundamentally transforming data center design requirements, mandating greater agility, scalability, and enhanced sustainability to effectively support evolving computational workloads.

Read at Data Center Knowledge→

DataBank is articulating its strategic vision for building the fundamental digital infrastructure required to support the demands of the artificial intelligence era through scalable solutions.

Read at Data Center POST→

While the rapid expansion of digital infrastructure presents significant opportunities for data center stakeholders, achieving success and resilience is contingent upon the adoption of holistic and integrated risk management strategies.

Read at Data Center Knowledge→

 
AI data center thermal engineering

The next phase of artificial intelligence infrastructure expansion faces a critical, often overlooked, challenge where thermal design limitations are becoming the binding constraint that differentiates truly AI-ready facilities from stranded data center assets in the United States.

Read at Global Data Center Hub→

Sherman Ikemoto from Cadence explained on the DCF Show how utilizing digital twins, validated system models, and service level agreement-driven simulation allows operators to apply engineering discipline rather than conjecture when designing and operating high-density, GPU-heavy artificial intelligence data centers.

Read at Data Center Frontier  →

 
Sustainable power and cooling solutions

Airsys advocates for an energy-first operational philosophy in data center cooling where power requirements dictate the approach to thermal management for compute resources.

Read at Data Center POST→

Page Haun, Chief Marketing and ESG Strategy Officer at Cologix, explains that sustainable data center design in the artificial intelligence age requires balancing speed and scale through practices like LEED Gold certification, utilizing liquid cooling and fuel cells, and engaging in community partnerships to manage power, water, and carbon footprints.

Read at Data Center Frontier  →

FuelCell Energy and SDCL are collaborating on a plan to deploy up to 450 megawatts of behind-the-meter fuel cell power for data centers, intending to alleviate grid pressure while enabling migration toward centralized 800-volt direct current architectures.

Read at Data Center Knowledge→

 
Infrastructure and proptech financing

Developers are actively seeking alternative funding sources to finance the substantial capital requirements driven by the artificial intelligence boom.

Read at Bisnow→

Proptech leader Fifth Wall has implemented staff reductions and suspended fundraising efforts amid challenging market conditions.

Read at Bisnow→

 
AI chip competition and regulation

Following President Trump's decision to approve the sale of Nvidia H200 GPUs to China, House Republicans have introduced legislation that would grant Congress final approval authority over the export of advanced AI chips to China and other nations of concern.

Read at The Register→

AI networking startup Upscale AI secured $200 million in Series A funding to develop its SkyHammer silicon for UALink switches, aiming to directly challenge Nvidia's dominance in providing interconnect solutions for rack-scale AI systems.

Read at The Register→

 
AI governance and systemic risk

Microsoft CEO Satya Nadella stated that true AI sovereignty is determined by ownership and control over the models and embedded corporate knowledge, rather than the physical location of the underlying data center infrastructure.

Read at The Register→

UK Members of Parliament have cautioned that financial regulators lack sufficient urgency in stress-testing systems for potential AI-driven market shocks and resolving accountability for automated decision-making.

Read at The Register→

 
Chatter
The view from Reddit
“Struggled and burnout in my company”

A system administrator details a severe spiral into burnout, feeling exploited by colleagues and management, leading to self-sabotage and existential dread over financial stability, stemming from an initial personal breakup.

Read at r/sysadmin→

“Any of you guys manage a shared-customer-cabinet colocation space?”

After being downsized from a large enterprise role, a seasoned engineer is launching a micro-colocation venture in Utah, seeking practical advice on security and client acquisition for filling a newly committed second cabinet space.

Read at r/datacenter→

“"In 6 months everything changes, the next wave of AI won’t just assist, it will execute" says ms executive in charge of copilot....”

A skeptical French administrator expresses profound doubt regarding an executive's aggressive timeline for AI execution capabilities, citing current failures of Copilot to even correctly answer questions about Power Automate.

Read at r/sysadmin→

 

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