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The Data Center Rundown

Aug 4, 2026

 

CoreWeave and Leidos are partnering to develop secure, sovereign AI cloud services for the US intelligence community.

Read at Data Center Dynamics→

 

China is accelerating its open-source artificial intelligence model development, prompting concern among US-based AI companies.

Read at The Register→

 
AI capital expenditure strategies

Investors favor Microsoft's artificial intelligence spending due to clear returns from cloud revenue and Copilot adoption, unlike Meta's investment approach.

Read at TechRepublic→

 

Are investors right to prioritize Microsoft's AI spending over Meta's for clearer returns?

Meta is increasing capital expenditures for AI data centers, forecasting between $130-$145 billion in spending, causing its shares to drop as free cash flow falls.

Read at Data Center Dynamics→

AWS is experiencing its fastest growth since 2021, with Amazon planning to invest $220 billion in annual capital expenditures due to increasing memory costs for artificial intelligence workloads.

Read at Data Center Dynamics→

 

This article argues for the necessity of verifiable performance data in artificial intelligence data centers beyond traditional power usage effectiveness metrics.

Read at Data Center Dynamics→

 
Texas grid oversight audits

Texas is implementing a statewide audit for AI data center projects, indicating increased oversight for large power interconnections driven by AI's escalating energy needs.

Read at Data Center Knowledge→

 

Does Texas's statewide audit of AI data centers indicate excessive government oversight?

 

MediaTek is allocating five billion dollars to bolster its artificial intelligence capabilities and data center infrastructure, signaling a major strategic investment in the growing AI market.

Read at The Register→

 
Chatter
The view from Reddit
“I'm in the DC industry but feel stuck — what's the real path to getting into a top-tier organization?”

After 2.5 years in hyperscale data center infrastructure, working through a contractor, an individual with an MS in Data Science seeks advice on transitioning to a stable, direct role at a major hyperscaler or infrastructure company, inquiring about programs, direct applications, and impactful certifications.

Read at r/datacenter→

“How to become a data center tech with no experience?”

An individual with a GED, pursuing an associate's in cybersecurity in Boston, and nearing CompTIA A+ certification, seeks advice on breaking into the data center technician field with no professional experience, questioning the value of specific certifications like CCNA and Network+, and the relevance of homelabs.

Read at r/datacenter→

“Homeless plumber looking to work on data centers”

A homeless plumber in the Southeast US, recently laid off and struggling to find sufficient local work, is exploring data center construction classes after hearing they lead to well-paying jobs, and asks for experiences with such programs, mentioning a past computer science education.

Read at r/datacenter→

 

opinion

The artificial intelligence market is experiencing a significant downturn, with signs of a bubble bursting, though the full impact remains unacknowledged by the broader industry.

Read at The Register→

 

Is the AI market already experiencing a bubble that is set to burst?

 

China asserts global chip leadership following a new legal definition for integrated circuits, impacting the semiconductor industry.

Read at The Register→

 
Community resistance and regulation

Data center development faces a trust deficit, according to Roshan Shah. Early community engagement is essential for aligning AI infrastructure projects with local requirements and overcoming resistance.

Read at Data Center Knowledge→

 
Critical infrastructure security risks

Operational technology security is paramount for data centers, as cyber-physical systems introduce significant risks. Prioritizing OT security is crucial for preventing disruptions and maintaining operational resilience.

Read at Data Center Knowledge→

 

Should operational technology (OT) security be the highest priority for data centers?

 

Samsung has advanced its plans for floating data centers into the engineering phase, exploring maritime solutions to address the growing demand for AI infrastructure.

Read at Data Center Knowledge→

 

Choosing between edge and cloud computing for AI applications requires careful consideration of architectural needs and specific use cases to ensure optimal performance and efficiency.

Read at Data Center POST→

 

South Korea is launching a $14 billion sovereign fund to invest in artificial intelligence, data centers, and strategic industries to bolster its technological future.

Read at TechRepublic→

 
Thermal and infrastructure scaling

As AI clusters demand faster networks, optics represent a growing cost and risk; Cisco's Bill Gartner explains how this critical component's proximity to silicon will shape future infrastructure.

Read at Data Center Frontier  →

 

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