Computing equipment
Servers, storage systems, and specialized processors run applications, store information, and perform computing work.
Responsible data centers. Measured.
Guidance for evaluating water, energy, sound, land, infrastructure, and local impacts before commitments are made.
A responsible data center is defined by local fit, transparent tradeoffs, and commitments that can be measured.
Every community begins with different infrastructure, land-use priorities, water conditions, utility constraints, and nearby receptors. These resources organize the questions that should be answered before approval—and the evidence that makes an answer credible.
Review our standardsWhat is a data center?
A data center is a facility that houses computing and network equipment used to store, process, and transmit digital information.
The computers are only one part of the system. A working facility also depends on electricity, cooling, connectivity, backup systems, operations, security, and the roads and utility infrastructure around the site. Size and impact vary widely with workload, design, climate, location, and operating plan.
Network connections
Fiber, switches, routers, and telecommunications equipment move data between the facility, users, other data centers, and cloud services.
Power infrastructure
Utility service, substations, electrical distribution, batteries, uninterruptible power systems, and backup generation keep equipment operating.
Cooling and heat rejection
Air, liquid, chilled-water, evaporative, dry, or hybrid systems remove heat. Energy and water effects depend on the complete design and local conditions.
Operations and resilience
Monitoring, controls, redundancy, maintenance, fire and life safety, emergency planning, and physical security support reliable operation.
The surrounding site
Buildings, roads, substations, transmission, water and wastewater systems, stormwater, lighting, security, and landscape buffers form the full local footprint.
How data centers work—and why AI is accelerating demand.
This short Associated Press animation introduces data center computing, electricity, cooling, and the additional processing used by artificial intelligence systems.
Included for education. Water, electricity, carbon, and infrastructure effects vary by facility and location and should be evaluated with project-specific evidence.
Open on YouTubeStart with the decision in front of you.
Data center environmental impact
Evaluate electricity, water, air, sound, land, infrastructure, public services, jobs, taxes, and long-term accountability as one connected local system.
Evaluate community impactSustainable data center case studies
Compare eight operating U.S. facilities with public evidence on water, energy efficiency, renewable electricity, community benefit, and disclosure gaps.
Compare the evidenceNeoclouds and data center buildout
Compare Fluidstack, Crusoe, and Lambda—and identify who controls the land, power, financing, buildings, cooling, GPUs, and long-term obligations.
Compare the modelsThe AI infrastructure demand stack
Follow demand from applications through Databricks-like platforms, cloud regions, facility developers, utilities, and physical data centers.
Trace the stackData center grid impact
Understand electricity demand, interconnection, grid upgrades, cost allocation, flexibility, reliability, and ratepayer protection.
Evaluate grid impactData center water usage
Understand direct and indirect water use, cooling tradeoffs, watershed context, WUE, peak demand, and reporting.
Measure water useData center noise
Understand cooling, transformer, and generator sound; dBA and dBC; baseline studies; modeling; mitigation; and verification.
Evaluate noiseQuestions for data center developers
Use a practical review checklist covering the site, water, power, sound, air, traffic, finance, emergency response, reporting, and closure.
Use the checklistOur project approach
See how site fit, infrastructure, environmental performance, community context, commissioning, and accountability shape a project from the start.
Explore the approachListen to the infrastructure conversation.
Original Good Neighbor Data audio briefings and selected external discussions on sustainable infrastructure, community response, AI demand, efficiency, and the decisions shaping data center development.
Our original episodes are educational and AI-narrated. External episodes are included for education; Good Neighbor Data did not produce them, and facility or market claims should be evaluated against project-specific evidence.
Original briefing · Episode 1
What Makes a Data Center a Good Neighbor?
A practical audio briefing on local fit, power, water, sound, land, public value, and the measurable commitments that turn project promises into accountability.
Original Good Neighbor Data briefing, narrated with an AI-generated voice. Educational content; not legal, engineering, utility, environmental, fiscal, or planning advice.
Good Neighbor Data audio briefing
What makes a data center a good neighbor?Original briefing · Episode 2
Who Is Driving Hyperscale Data Center Demand?
A fact-checked history of the companies behind hyperscale growth, what they are building next, and why even the largest owner-operators lease enormous blocks of wholesale capacity when speed matters.
Original Good Neighbor Data briefing, narrated with an AI-generated voice. Figures and announced plans are current as of July 13, 2026 and may change. Educational content; not legal, engineering, utility, environmental, fiscal, investment, or planning advice.
Good Neighbor Data audio briefing
AWS, Azure, Google Cloud, Meta, and OracleOriginal briefing · Episode 3
Where Data Centers Live: Above Ground, Underground, Modular, and More
A concise guide to the physical forms, deployment methods, network roles, and operating models commonly grouped under “types of data centers”—plus the questions communities should ask about each.
Original Good Neighbor Data briefing, narrated with an AI-generated voice. Educational content; not legal, engineering, utility, environmental, fiscal, or planning advice.
Good Neighbor Data audio briefing
Above ground, underground, modular, edge, and moreSustainable AI Data Centers: Delska
SourceForge speaks with Delska CTO Rihards Kaletovs about AI infrastructure, data sovereignty, liquid cooling, energy efficiency, and a new 10-megawatt data center in Latvia.
Open on YouTubeData center backlash, faster delivery, and International Data Center Day
The Green Data Center Podcast examines growing concern about electricity, water, noise, and land impacts—and the moratoria, zoning restrictions, and delivery pressures following that growth.
Open on SpotifyNew briefings, by email.
Get new Good Neighbor Data audio briefings and selected podcast updates on responsible data center development. Occasional updates, no noise.
What a credible project answer contains.
| Ask the developer | Request this evidence | A credible response contains |
|---|---|---|
| Ask the developerWhat changes locally? | Request this evidenceExisting-condition baselines and project scenarios. | A credible response containsSeparates current conditions from construction, normal operation, peak operation, testing, and emergencies. |
| Ask the developerWho carries the cost? | Request this evidenceUtility, infrastructure, fiscal, and service-impact analyses. | A credible response containsIdentifies responsibility for upgrades, operations, maintenance, and long-term obligations. |
| Ask the developerHow will performance be checked? | Request this evidenceDesign criteria, commissioning plan, monitoring method, and reporting schedule. | A credible response containsDefines what is measured, where, when, by whom, and what happens if results miss the commitment. |
| Ask the developerWhat remains uncertain? | Request this evidenceAssumptions, ranges, model inputs, and data limitations. | A credible response containsStates uncertainty plainly and updates the analysis as design and operating information improves. |
The Good Neighbor Data standard.
We translate environmental and community responsibility into decisions that can be evaluated. A project standard should identify the decision, the local context, the metric or evidence, and the method for verification. Accountability over slogans.
Frequently asked questions.
What makes a data center responsible?
A responsible project evaluates local effects before design choices are fixed, reports assumptions and tradeoffs, assigns responsibility for infrastructure and mitigation, and verifies performance after construction. The answer depends on the site; one metric or technology cannot describe the whole project.
Is a sustainable data center always a low-water data center?
No. Water and energy choices are connected. A lower-water design can use more electricity, while evaporative cooling can reduce cooling energy but consume more water. The credible question is whether the project minimizes total impact for its site and operating plan.
What should local leaders ask first?
Start with the full buildout: acreage, building area, expected load, cooling method, average and peak water demand, wastewater, backup generation, sound sources, construction schedule, utility upgrades, emergency response, fiscal assumptions, and the party responsible for each commitment.
Are these resources model regulations?
No. They are decision aids, not legal advice or a substitute for local technical, utility, planning, environmental, fiscal, or legal review. Authority and appropriate requirements vary by jurisdiction.
Sources
Berkeley LabWater-use determinants and site-specific tradeoffs.U.S. Department of EnergyEfficiency, cooling, heat reuse, PUE, WUE, and CUE.National Association of CountiesCounty planning, infrastructure, zoning, and oversight.Pennsylvania DCEDMunicipal roles, land use, utilities, and fiscal review.
Last updated July 2026. Review technical and policy information for the specific site, jurisdiction, utility territory, and operating plan.