Skip to content
MarketScale
‹ Back to IndustriesEngineering & Construction

Power, Cooling, and Risk: What It Takes to Bring a 100MW AI Data Center Online

The construction of AI data centers, particularly those exceeding 100 megawatts, introduces new challenges in transitioning from construction to operational phases. Operators must verify entire systems like power and cooling to ensure they withstand real-world conditions. As AI demand rises, mastering these transitions is crucial for success.

This story was produced through MarketScale. See how Engineering & Construction teams put it to work with Partner & Channel Enablement.

Promoted content from Applied Digital on MarketScale.

By Applied Digital · Ai Data CentersApplied DigitalData Center DesignData Center Operations
Share

Key takeaways

01

The industry is adept at building data centers but struggles with scaling AI facilities.

02

Facilities surpassing 100 megawatts require testing of entire systems, not just equipment.

03

The commissioning phase is vital and involves sophisticated, months-long system validation.

Get featured

Want to get featured in MarketScale Engineering & Construction?

Create a free MarketScale workspace and get your company's expertise featured across our Engineering & Construction coverage. No credit card, no demo required.

Start free

The industry knows how to build data centers. What it’s still figuring out is how to turn on AI factories at scale. With facilities now crossing 100 megawatts—far beyond the 5 to 10 megawatt norm of traditional builds—operators are no longer just validating equipment. They’re testing whether entire systems—power, cooling, controls, and the teams behind them—can hold together under real-world conditions. As AI demand accelerates, that transition from construction to live operations is becoming one of the most critical—and least understood—phases of the data center lifecycle. When you flip the switch on a 100-megawatt AI facility, what determines whether it runs smoothly—or starts to break? Architects of Acceleration Volume II opens with a closer look at what it really takes to bring an AI data center online—focusing on the commissioning phase where infrastructure is tested, systems are validated, and facilities transition from construction to live operations. Host Philbert Shih, Founder and Managing Director of Structure Research, sits down with Laura Laltrello, COO, and Stephen Lattimer, VP of Design & Engineering at Applied Digital. Together, they unpack the critical and often misunderstood phase of commissioning—where AI infrastructure moves from theoretical readiness to real-world performance under load. The discussion centers on the operational, technical, and organizational realities of bringing hyperscale AI facilities online. What you’ll learn… Commissioning at scale is not a checklist—it’s a months-long systems validation process, often beginning 30–45 days after groundbreaking and intensifying in the final stretch before readiness for service (RFS). Mechanical systems—especially cooling—pose the greatest operational risk, requiring constant recalibration as real-world conditions diverge from design assumptions. Success hinges on coordination, sequencing, and communication, with early planning, vendor alignment, and in-person collaboration proving essential to meeting aggressive timelines. Laura Laltrello serves as the Chief Operating Officer of Applied Digital, where she leads operational execution and strategy for large-scale AI and data center infrastructure. She brings nearly 20 years of executive leadership experience across data centers, building technologies, and energy systems, along with a strong track record of managing multi-billion-dollar P&Ls and delivering complex global projects. Prior to Applied Digital, she held senior leadership roles at Honeywell and Lenovo, where she scaled global services businesses, led enterprise operations, and drove major transformations in infrastructure and technology delivery. Stephen Lattimer is the Vice President of Data Center Design at Applied Digital, where he focuses on the design of data center infrastructure. He previously served as a Data Center Architect at Flexential and spent nearly three decades at Sturgeon Electric in roles ranging from electrician to project lead. His career reflects deep, hands-on experience in electrical systems, project execution, and data center development. This progression from field roles to leadership gives him a practical, ground-level perspective on designing and delivering complex infrastructure projects. Article written by MarketScale.

Part of this channel

Applied Digital

News, updates, and expert insights from Applied Digital.

Visit the channel

Your experts belong here

Every story in MarketScale Engineering & Construction starts with a company putting its project engineers, superintendents, and estimators on the record. Buyers are already reading this topic. The only question is whose experts they find.

Owners shortlist firms they already trust, and your field leaders become the reason your name is on that list.

Get your team featuredSee how it works15 minutes, straight to a calendar.

About the author

AD
Applied Digital

Follow Engineering & Construction Insights

Get new expert content in your inbox.

Engineering & Construction: are you visible to AI?

Before they reach out, Engineering & Construction buyers ask AI engines which vendors to trust. Explore how your experts, customers, and partners can become useful content for buyers and AI search.

Free plan

You just read one Engineering & Construction expert. Your company is full of them.

This article was produced through MarketScale. The same platform turns your project engineers, superintendents, and estimators into the articles, video, and social content Engineering & Construction buyers are searching for. Create a free workspace and see it with your own people. No credit card, no demo required.

NPS +73 · 1,000+ creators · 38+ countries

What you get, free

Your own MarketScale workspace, up to 10 people
One professional video edit a month for qualifying companies
Media requests to your crowd, remote recording, AI writing tools
$0, no credit card, nothing that expires

More Engineering & Construction Insights

Packaging robots can beat labor long term on cost, PMMI argues

Packaging robots can beat labor long term on cost, PMMI argues

PMMI's Tom Egan wrote in Processing Magazine that adding packaging automation and robotics can now be justified as more cost-effective over the long term than the high cost of labor in food, beverage and CPG plants. Separately, Packaging World describes AI-enabled AMRs from ABB and Agilox that automate material movement between packaging stations. The remaining gap is adoption among smaller manufacturers.

  • 01Two reference points for infrastructure-light material movement: ABB's Flexley Mover P603 carries 1,500 kg with sub-centimeter positioning and no floor markers, and Agilox's OFL lifts 800 kg pallets on peer-to-peer fleet software with no central traffic controller, per Packaging World.
  • 02The open ground is small and mid-sized manufacturers: MTC's Mike Wilson counts tens of thousands of UK SMEs with no robotic automation at all and expects cobots to take most of that growth.
  • 03A robotics business case should include procurement, not only line labor: a June 2026 China Journal of Accounting Research study found heavy robot adopters spread buying across more suppliers, gaining resilience but losing inventory efficiency and adding transaction costs.

Sep 18, 2026

Xtellio brings telematics to jobsite tools and heaters

Xtellio brings telematics to jobsite tools and heaters

Xtellio launched a two-tier telematics platform in March 2026: 32 battery-powered Xense sensors for small tools and wired Pro-Xentral devices for excavators, light towers and heaters. The company claims a 10-year battery life. Data is delivered through open APIs, which Xtellio frames as customer ownership of the data, aimed at rental and construction fleets where small assets have gone largely untracked.

  • 01Xtellio’s stated 10-year battery life for its Bluetooth Xense sensors is the key spec to test in the field; if it holds up, tagging hundreds of tools can look like a one-time install rather than a recurring battery-maintenance program.
  • 02For rental houses and contractors running mixed fleets, the sharper question is no longer which machines have telematics but whether the heaters, light towers and hand tools do, and whether that data lands in the same system.
  • 03Open APIs and “data liberation” are part of Xtellio’s pitch, and the coverage frames that as a prompt for RFP questions: what the APIs expose, where data can be sent, and whether customers can take historical data if they switch providers.

Sep 18, 2026

Senate bill would double smart water grants to $50 million a year

Senate bill would double smart water grants to $50 million a year

S. 2388, the Water Infrastructure Modernization Act of 2025, would double an EPA water tech pilot to $50 million a year through 2028. Grants would cover design, construction, training and operations for leak detection, advanced metering and AI analytics, WaterWorld reported. Planning and maintenance stay on the utility's tab.

  • 01Under S. 2388 as WaterWorld describes it, feasibility studies are not grant-eligible, so a utility would have to pay to build the case for a smart water project before applying for help building the project itself.
  • 02The bill's eligible list puts advanced digital design and construction management tools in the same bucket as meters and sensors, which would give a utility's capital delivery team a claim on the same grant as its field operations group.
  • 03The existing pilot program's authorization runs through 2026, per WaterWorld; the bill would extend it to 2028, and its last reported status was 'introduced' as of Aug. 12, 2025.

Sep 17, 2026

Explore More Engineering & Construction Insights

Read more expert perspectives from across Engineering & Construction.

Browse Engineering & Construction Hub

About the Experts

AD
Applied Digital
PS
Philbert Shih

Founder and Managing Director

Structure Research

LL
Laura Laltrello

COO

Applied Digital

SL
Stephen Lattimer

VP of Design & Engineering

Applied Digital

For B2B teams

Your experts could be publishing here

Stories like this one run on content MarketScale captures from real practitioners. See how your team's expertise becomes coverage in Engineering & Construction and beyond.

Book a 15-minute demo

Or call us. No forms required. We pick up. 214-945-2512