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The Data Center Rundown

Mar 11, 2026

 
Strategic planning for data centers

Google and Tesla have initiated a new coalition with the objective of developing a solution to address the growing power demands faced by data centers.

Read at Bisnow→

Given that electrical demand is significantly outpacing available supply, critical strategic decisions must now be made regarding the future direction of the data center sector.

Read at Bisnow→

Closing the gap in power efficiency is presented as a critical, foundational strategy for achieving success with artificial intelligence workloads in data centers beyond initial capital expenditure.

Read at Data Center Dynamics→

 

Is improving power efficiency more critical to AI success than initial capital investment?

This year is expected to mark a shift toward more substantial and pragmatic data center deployments, driven by various market pressures and future outlooks.

Read at Data Center Dynamics→

 

The progression toward Digital Infrastructure 3.0 will rely heavily on power, fiber connectivity, and edge computing to support the burgeoning artificial intelligence industrial revolution.

Read at Data Center POST→

More coverage at TechRepublic →  TechRepublic →

 
Enterprise AI automation tools

The established 12-volt and 48-volt direct current rack power architectures optimized for lower density computing are proving insufficient as artificial intelligence factories introduce massive power demands requiring higher voltage systems like 800 volts.

Read at The Register→

Generative artificial intelligence is modernizing information technology operations by facilitating proactive automation, accelerating incident resolution, enabling smarter capacity planning, and ensuring governed scaling across distributed hybrid environments.

Read at TechTarget IT Infrastructure→

Microsoft introduced Agent 365 as its solution for enterprise artificial intelligence agent concerns, though its required inclusion with Microsoft 365 elicited criticism regarding the platform's high price point.

Read at TechTarget IT Infrastructure→

 
Financing specialized AI infrastructure

AI data center startup Nscale secured $2 billion in funding at a $14.6 billion valuation, backed by chip giant Nvidia, amid what is described as the largest infrastructure buildout in human history driven by artificial intelligence demands.

Read at TechRepublic→

The European artificial intelligence infrastructure expansion is being supported by a new financing mechanism involving hardware-backed private credit, exemplified by Nscale securing a substantial loan against its graphics processing unit assets.

Read at Global Data Center Hub→

 
Specialized hardware for AI workloads

InfraPartners has introduced updated designs for modular data centers, partnering with Emerald AI to deliver facilities optimized for artificial intelligence workloads and flexible deployment.

Read at Data Center Richness→

Akash Systems has launched new artificial intelligence servers powered by AMD components, securing an initial order valued at $300 million within the United States.

Read at Data Center Dynamics→

Edge data center firm Duos has appointed Doug Recker as Chief Executive Officer and established a partnership with Hydra Host to deploy Nvidia clusters.

Read at Data Center Dynamics→

 

The neocloud firm Nscale, which is backed by Nvidia, reached a valuation of $14.6 billion following a recent funding round intended to accelerate its aggressive global buildout of artificial intelligence infrastructure.

Read at Data Center Knowledge→

 
Chatter
The view from Reddit
“Microsoft Support, and the ridiculous way I hacked my way into my own tenant”

After accidentally locking out the administrative team by enabling restrictive Conditional Access Policies, the poster bypassed the lockout by creating and running a Power Automate flow to modify the exclusion group, all while Microsoft support failed to call back for days.

Read at r/sysadmin→

 

Should security policies include a mandatory, tested human/flow bypass for admin lockouts?

“Does anyone else feel like "Rack and Stack" is becoming the least of our worries?”

A veteran technician laments the shift in daily responsibilities from traditional IT tasks to complex mechanical, electrical, and plumbing concerns driven by extreme power density and the mandatory adoption of liquid cooling for GPU clusters.

Read at r/datacenter→

 

Is managing facility power and cooling now a more complex daily task than traditional IT work?

“Fed up with the "False Positive" narrative and the reality of modern malware in pirated apps (esp in SMB)”

A frustrated MSP contractor rails against the willful ignorance of small business owners who trust piracy forums over security warnings, ignoring sophisticated malware campaigns that rely on A/B testing and false positive narratives to compromise systems.

Read at r/sysadmin→

 
Optimizing AI workload costs

CoreWeave introduced new flexible cloud service plans aimed at helping artificial intelligence customers optimize their graphical processing unit expenditures while managing predictable inference and training workloads.

Read at Data Center Knowledge→

The persistent shortage of memory chips, exacerbated by rapidly increasing artificial intelligence consumption, has illuminated inefficiencies in managing unstructured data, compelling organizations to address the escalating costs associated with redundant, obsolete, and trivial information.

Read at Data Center Knowledge→

 

Should enterprises proactively delete trivial or redundant unstructured data to manage storage costs?

CoreWeave's ARENA platform allows enterprises to validate artificial intelligence workloads at production scale on GPU clusters, providing empirical data on performance and cost modeling before committing to full infrastructure deployment.

Read at Data Center Frontier  →

 

Shipments of low-cost computing devices like Chromebooks are projected to decline sharply this year because spiraling memory costs are being redirected toward funding artificial intelligence infrastructure investments.

Read at The Register→

 

The principles of Information-Centric Networking, currently in the research stage, offer potential architectural guidance for data centers seeking improvements in scalability, performance, replication, and edge hosting verification.

Read at Data Center Knowledge→

 

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