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A California judge says Imperial County must review a proposed 330 MW data center and its power, water, battery, and generation infrastructure.

TL;DR Phil Koblence and Eli Sher take on new leadership roles as Chair and Vice Chair of the OIX Association following Chris Grundemann’s departure as Chair. OIX is expanding beyond its traditional certification work to address a broader range of digital infrastructure standards, frameworks, education and industry collaboration. The Digital Infrastructure Framework Committee (DIFC) is […] The post OIX Enters Its Next Chapter With New Leadership and an Evolving Mission appeared first on Data Center POST.

AI is reshaping the construction lifecycle. At Ai4 2026, AEC leaders shared how firms are applying AI across design, logistics, safety, and operations, while tackling data standards, culture change, and scaling.

AI’s explosive growth is forcing a fundamental reimagining of data center infrastructure.

TL;DR The global hyperscale data center market is expanding at a 6.2% CAGR, having grown from 1,136 facilities at year-end 2024 to 1,297 facilities by Q3 2025, with more than 500 additional sites currently planned or under construction. Compute and power capabilities are scaling faster than facility counts alone, as new AI-focused campuses transition from […] The post Hyperscale Data Centers Grow at a 6.2% CAGR to Support Next-Generation Computing appeared first on Data Center POST.

TL;DR Driven by the rapid growth of AI, cloud computing, high-performance computing (HPC), and edge deployments, rack power densities are rising sharply, making Power Distribution Unit (PDU) architecture a vital electrical backbone for reliable, scalable delivery. Unlike traditional facilities with fixed capacities and risky, disruptive maintenance, modular prefabricated PDU architectures allow incremental capacity scaling without […] The post Designing Data Centers for Density: A Practical Guide to PDU Architecture Choices appeared first on Data Center POST.

SLB’s $4.1B Kelvion deal expands its data center business into thermal management as AI drives higher power densities and cooling demands.

TL;DR Cooling accounts for a significant share of a data center’s total energy draw, so thermal management can directly impact operating costs. Hot-aisle and cold-aisle containment separate intake and exhaust airflow, preventing the two from mixing, which could reduce efficiency. Containment allows facilities to raise setpoints and reduce cooling infrastructure without compromising equipment reliability. The […] The post Data Center Aisle Containment and the Path to Lower Operating Costs appeared first on Data Center POST.

TL;DR Shipping workflows rely on rate APIs, validation services, and queues that degrade under load; treating shipping as technical architecture rather than basic fulfillment prevents critical failures during peak volume. Running carrier API queries in parallel resolves checkout bottlenecks, while expanding carrier access (evaluating five carriers rather than two) raises the ceiling on cost savings […] The post 7 Infrastructure Decisions That Improve Ecommerce Shipping Performance appeared first on Data Center POST.

Nvidia is opening its rack-scale AI systems to custom chips, giving hyperscalers more flexibility as they seek alternatives to off-the-shelf GPUs.

TL;DR Changing infrastructure needs: High-density AI workloads require facilities to balance increased compute capacity, rapid deployment, energy efficiency, and intensive cooling while maximizing white space. Bespoke approach: Data center operators are prioritizing custom-engineered infrastructure over off-the-shelf products to match specific physical constraints and long-term scaling needs. Designed for AI environments: Datalec Precision Installations (DPI) unites […] The post How Bespoke Manufacturing is Helping Data Centers Meet AI Demands appeared first on Data Center POST.

Solid-state transformers are gaining traction as a way to convert medium-voltage AC directly to 800 V DC in AI data centers. Still, questions remain about the technology’s maturity.

The company is testing robots on tasks that can performed by technicians.

To cut energy costs, the cooling technology inside the server increasingly determines both compute performance and facility economics.

A new Executive Order targets foreign grid equipment as utilities and data center developers contend with tight supplies and long lead times.

TL;DR Global colocation growth: Structure Research estimates the global colocation installed base at 63.8GW of operational critical IT capacity in 2026, with combined colocation and interconnection revenue reaching US$151.9 billion. Market outlook: By 2031, the market is forecast to reach 213.1GW of operational capacity and US$458.7 billion in combined revenue. 101 markets assessed: The new […] The post Structure Research Releases 2026 Global Colocation Report and Free Market Tiering Report appeared first on Data Center POST.

TL;DR A Major Local Investment: Sabey Data Centers is proposing a roughly 130-acre campus in Decatur Township that would represent approximately $4.25 billion in taxable capital investment. Community-Focused Commitments: The project includes $5 million for road improvements in Decatur Township and nearly $25 million for a new aquatic center. Jobs and Long-Term Tax Benefits: The […] The post Building for the Future: Sabey Data Centers Outlines Community Commitments for Proposed Indianapolis Campus appeared first on Data Center POST.

DOE declined three proposed transmission corridors as its own study cites data center load growth, raising questions about how far ahead utilities should build.

TL;DR Growing footprint: Empire Fiber Internet expanded its fiber network in Ithaca, NY, adding over 700 homes and businesses, including Collegetown, Bryant Park, and Belle Sherman. Milestone reached: The expansion brings Ithaca homes and businesses passed to more than 5,400 Community backing: The Tompkins Chamber welcomed the investment as a boost to reliable internet options […] The post Empire Fiber Internet Announces Service Expansion in Ithaca, NY appeared first on Data Center POST.

As AI racks push past 100 kW, electrical engineering and resilience planning – not chip counts – are setting the cap.

Data center development is becoming a campaign liability for politicians who once sold it as an economic development win.

The neocloud’s second-quarter expansion shows how available power, deployable data center space and capital determine whether AI-compute contracts become revenue.

TL;DR New CFO: Christopher “Chris” DeAlmeida joined Duos as Chief Financial Officer, effective August 24, 2026. Financial strategy: He will oversee capital allocation, financial planning, and investment strategy as Duos scales its Edge AI platform. Industry experience: DeAlmeida brings more than 20 years of public-company finance and infrastructure leadership experience. # # # Duos Technologies […] The post Duos Technologies Group, Inc. Names Christopher DeAlmeida Chief Financial Officer appeared first on Data Center POST.

Nvidia’s $89B data center quarter and AWS’ plan for two million more GPUs show AI infrastructure demand broadening beyond hyperscalers.

Presented by Gravitee Agent complexity is the insidious shadow lurking inside enterprises right now that needs a light shone on it. That’s because enterprises don't deploy a single agent and watch it run, they deploy fleets, each one calling APIs, calling other agents, reaching into applications that were never built with a machine decision-maker in mind. That's the failure mode that should keep you up at night: a windy, complicated system nobody can see clearly enough to govern. But why do things get so opaque so quickly? Add a second agent to a system, and you've added one connection. Add a tenth, and you haven't added ten connections, you've potentially added dozens, because now any agent might call any other, and each of those calls can trigger a call somewhere else. Complexity doesn't creep up with agent headcount. It compounds with the number of paths between agents, and nobody's job is to draw that graph. A support ticket that used to touch one system might now pass through four agents before a human ever lays eyes on it, and every one of those handoffs is a decision point nobody approved. Most enterprise AI programs stall when the humans responsible for their agents lose the thread. Ask a security team a simple question: which agents can reach which systems, and watch the silence. Ask which agent triggered which downstream action three hops ago. More silence. The instinct is to treat this like a checklist. Approve the agent. Log the agent. Move on. I'd argue this is the wrong instinct. A checklist checks a single point in time. Complexity runs across a chain, and you can't govern a chain with a stack of one-time approvals any more than you can call a diet successful because you had a vegetable once. So where does it actually break down? Permissions creep first. Somebody builds an agent to summarize support tickets, grants it broad API access because scoping it properly would've taken another sprint, and forgets about it. Six months later, that same agent has a path into the payments system. Nobody remembers signing off on that. Nobody did. And ownership thins out the further the chain runs. Five agents touch one workflow, something breaks at step four, and now you're asking who's responsible for a link nobody was ever assigned to own, because the org chart stopped at "deploy the agent" and never got to "name the human who answers for it." This is a story about governance infrastructure that hasn't caught up with how agents actually behave: interconnected, cascading, multiplying faster than the processes built to track them. Fixing the cluster starts with identity. Every agent needs to exist as its own entity, not a shadow permission borrowed from whoever deployed it. Its own name in the register. Its own scoped authority. A named human sponsor who answers for what it does. That part is necessary. But it is nowhere near sufficient. The harder piece is the oversight that holds across the entire chain, not just at each individual link in it. You need to see what an agent did, what it set off downstream, and where that trail ends in real time, not in a report someone pulls together once a quarter. Get agent-level identity right and stop there, and you end up with a filing cabinet full of perfectly documented agents operating inside a system nobody can actually explain. And oversight by itself only tells you what already happened. Watching a chain isn't the same as controlling it. Enforcement is the piece most programs skip: the ability to stop an out-of-policy call before it executes, not just log it for someone to find in a review three weeks later. A dashboard that shows you an agent breached its scope five minutes ago is a monitoring tool. A system that stops the breach from happening in the first place is governance. Enterprises serious about agent accountability need both, and most have only built the first. We're all running at blazing speed to ensure we're not the ones left behind in the race we've found ourselves in, and we're all too aware that there's a cost to slowing down. Every enterprise serious about agentic AI hits the complexity wall eventually. The ones that get past it are the ones who built enough visibility and accountability, so their fleet can keep growing without anyone losing the ability to answer one question: what is this system doing right now, and who's responsible for it. But don't miss the point. Complexity isn't a reason to pump the brakes. The enterprises getting this right aren't slowing down. They're building toward Human-Agent Harmony, where scale and accountability grow together instead of trading off against each other. The real risk was never a single agent doing exactly what it was built to do. It's a hundred of them doing exactly that, all at once, interacting in combinations nobody designed for. That kind of multiplication is what keeps enterprise AI stuck running pilots forever instead of running production. Solve for complexity and autonomy stops being the villain. It starts being the whole point. Rory Blundell is CEO at Gravitee. Sponsored articles are content produced by a company that is either paying for the post or has a business relationship with VentureBeat, and they’re always clearly marked. For more information, contact sales@venturebeat.com.

TL;DR In January 2026, the first operational orbital data center nodes were launched into low Earth orbit by Axiom Space and Kepler Communications, transitioning space-based computing from a theoretical concept to physical, working infrastructure. Moving computing into orbit provides continuous, unfiltered solar power, avoids Earth-based competition for land, water, and power grids, and allows local […] The post Space-Based Orbital Data Centers: How Computing Is Moving Beyond Earth appeared first on Data Center POST.

Analysts weigh in on where the industry is headed, as Digital Realty, AWS, DPR Construction, and Schneider Electric demonstrate how they’re leveraging AI.