AI infrastructure regions · verified 2026-06-16

AI compute regions, GPU supply, and grid stress

Compare AI compute regions by provider presence, GPU availability, power-market stress, data-center growth, water risk, and source confidence.

Check GPU pricesRead methodologyPublic-market indicatorsNot substation capacity
AI data centers, power grid signals, and regional infrastructure risk indicators connected on a map-like plane.
Regions tracked
8
High-risk regions
4
High confidence
2
source-backed rows
Latest verification
2026-06-16

Featured infrastructure checkpoints

Signals are qualitative, source-backed indicators.
PJM

Northern Virginia

Power risk: high

Data-center-driven load growth is a core regional issue; near-term requests are being vetted more strictly.

ERCOT

Texas

Power risk: high

ERCOT reported roughly 410 GW of large loads seeking interconnection, about 87% data centers, as of March 26, 2026.

PJM

Ohio

Power risk: high

AEP Ohio and manufacturing stakeholder disputes show material uncertainty in data-center load assumptions.

Western Interconnection

Utah

Power risk: high

Proposed multi-GW campuses make Utah a high-attention market even when specific cloud GPU offers are not yet visible.

Grid capacity caveat

PlanetGPU does not claim available substation or feeder capacity. Scores are public-market risk indicators based on load growth, market stress, queue depth, transmission context, permits, and cited sources.

Compare AI compute regions

8 of 8 regions shown. Filter by risk, source confidence, and power market.

Sort

Northern Virginia

Virginia
AshburnLoudoun CountyPrince William CountyData Center Alley
highhigh
Power market

PJM

GPU/provider signal

Largest US cloud/data-center concentration; strong hyperscale and specialty GPU provider presence, but premium enterprise capacity can be tight.

Load growth

PJM's 2026 forecast process explicitly evaluates large-load adjustments and distinguishes firm from non-firm projects.

Large-load pressure

Data-center-driven load growth is a core regional issue; near-term requests are being vetted more strictly.

Generation queue

Use PJM and Interconnection.fyi generation queues as supply-pipeline context; queue depth does not equal deliverable capacity.

Permitting / backlash

Loudoun shifted data centers from by-right treatment toward conditional/SPEX review for many sites.

Water risk

Medium: water and generator permitting scrutiny are rising, though power/interconnection is the more visible bottleneck.

Transmission context

Dense transmission and substation footprint, but public HIFLD layers do not reveal spare capacity at nodes.

Texas

Texas
Dallas-Fort WorthAustinSan AntonioWest Texas energy campuses
highhigh
Power market

ERCOT

GPU/provider signal

Strong mix of cloud regions, colocation, and emerging on-site generation campuses; spot/marketplace prices can be attractive but operational quality varies.

Load growth

ERCOT forecasts and public updates show major load-growth pressure from data centers and other large loads.

Large-load pressure

ERCOT reported roughly 410 GW of large loads seeking interconnection, about 87% data centers, as of March 26, 2026.

Generation queue

ERCOT reported more than 453 GW of active generation interconnection requests in February 2026, led by storage and solar.

Permitting / backlash

State-level large-load interconnection process is changing; public concern focuses on reliability, cost allocation, and water.

Water risk

Medium to high in water-stressed subregions; site-level cooling design matters.

Transmission context

Large state grid with visible congestion and price nodes; public data helps market analysis but not exact spare-capacity claims.

Ohio

Ohio
ColumbusNew AlbanyCentral Ohio
highmedium
Power market

PJM

GPU/provider signal

Strong cloud-region relevance through AWS us-east-2 and expanding central-Ohio data-center demand.

Load growth

PJM's load-forecast process includes large-load adjustment scrutiny; Ohio utilities are part of the debate.

Large-load pressure

AEP Ohio and manufacturing stakeholder disputes show material uncertainty in data-center load assumptions.

Generation queue

Use PJM generation queue and Interconnection.fyi as supply-pipeline context; queue capacity can be speculative.

Permitting / backlash

Debate focuses on tariffs, cost allocation, and whether forecasts overstate committed load.

Water risk

Medium: less severe than desert markets, but site-level cooling and community impacts still matter.

Transmission context

Central Ohio has data-center concentration, but public transmission layers cannot confirm energization timing.

Utah

Utah
Salt Lake CityBluffdaleEagle MountainDelta
highmedium
Power market

Western Interconnection

GPU/provider signal

Emerging hyperscale and western compute market; public GPU marketplace depth is weaker than established cloud regions.

Load growth

Utah policy research reports substantial existing, under-construction, and planned data-center capacity.

Large-load pressure

Proposed multi-GW campuses make Utah a high-attention market even when specific cloud GPU offers are not yet visible.

Generation queue

On-site gas and utility-specific interconnection plans matter more than generic western queue totals.

Permitting / backlash

Backlash centers on scale, water, emissions, and Great Salt Lake/desert impacts.

Water risk

High: arid-region water stress and cooling choices are core buyer and community risks.

Transmission context

Transmission access and gas pipeline proximity are relevant, but proposed off-grid designs complicate public scoring.

Phoenix / Arizona

Arizona
PhoenixMesaChandlerGoodyear
mediummedium
Power market

Arizona utilities / Western Interconnection

GPU/provider signal

Important western cloud and colocation market with growing AI demand, but fewer transparent GPU-market signals than PJM or ERCOT.

Load growth

Arizona policy and media reports identify data centers and other large loads as a reliability and electricity-cost challenge.

Large-load pressure

Large-load pressure is visible but less standardized publicly than ERCOT's queue updates.

Generation queue

Use Western interconnection, utility planning, and EIA signals for context; public project-level supply visibility is limited.

Permitting / backlash

Public debate centers on heat, water, and energy burden rather than a single state-wide moratorium.

Water risk

High: desert water constraints and cooling demand are central buyer-risk factors.

Transmission context

Transmission proximity can be mapped, but desert heat, cooling load, and water constraints are central site variables.

Georgia / Southeast

Georgia
Atlanta metroDeKalb CountyDouglas CountyColumbus corridor
mediummedium
Power market

Southeast utilities

GPU/provider signal

Growing southeast compute market with strong fiber and enterprise demand; public GPU price transparency is weaker than marketplace-heavy regions.

Load growth

Data-center ordinances and local planning activity show a fast-moving development market.

Large-load pressure

Large-load interest is visible through ordinances, utility planning, and project announcements, but not one unified public queue.

Generation queue

Interconnection.fyi and regional utility planning are the best V1 supply-pipeline proxies.

Permitting / backlash

Local governments are actively drafting data-center ordinance language and review standards.

Water risk

Medium: regional water concerns are site-specific and should be verified by county/utility.

Transmission context

Transmission access should be mapped as context only; deliverability remains utility-specific.

Illinois

Illinois
ChicagoElk Grove VillageNorthern Illinois
mediummedium
Power market

PJM / MISO

GPU/provider signal

Major Midwest connectivity and enterprise market; cloud GPU buyer value depends on provider-specific region availability.

Load growth

State policy debate shows electricity-cost and grid-impact concerns around continued data-center incentives.

Large-load pressure

Large-load risk is visible through policy and market reports, but public project-level queues are fragmented.

Generation queue

Use PJM, MISO, and Interconnection.fyi queue context rather than a single market-only score.

Permitting / backlash

Illinois officials have moved to slow or review tax-break driven data-center development amid power and water concerns.

Water risk

Medium: generally lower scarcity risk than Southwest markets, but community and cooling concerns remain.

Transmission context

Chicago-area grid and fiber advantages are material, but deliverability must be verified by utility.

Oregon / Washington

Oregon, Washington
HillsboroPrinevilleThe DallesUmatilla
mediummedium
Power market

Pacific Northwest utilities / BPA context

GPU/provider signal

Strong cloud-region relevance through AWS us-west-2 and Pacific Northwest data-center clusters.

Load growth

Pacific Northwest reports and advisory processes identify data centers as a major electricity-demand driver.

Large-load pressure

Large-load pressure is visible in Oregon and Washington policy work, but public queues are utility-specific.

Generation queue

Use EIA, regional planning, and Interconnection.fyi as broad context; hydro and transmission constraints require local review.

Permitting / backlash

Washington and Oregon policymakers are debating cost allocation, water, and grid expansion impacts.

Water risk

Medium: lower scarcity than desert regions, but water quality/use and river-system impacts are active issues.

Transmission context

BPA/hydro context is a major regional differentiator, but public line maps do not reveal deliverable capacity.

RegionPower marketGPU/provider signalLoad growthLarge-load pressureGeneration queuePermitting / backlashWater riskRiskConfidenceSources
Northern Virginia
Virginia
AshburnLoudoun CountyPrince William County
Verified 2026-06-16
PJM
PJM

Largest US cloud/data-center concentration; strong hyperscale and specialty GPU provider presence, but premium enterprise capacity can be tight.

PJM's 2026 forecast process explicitly evaluates large-load adjustments and distinguishes firm from non-firm projects.

Data-center-driven load growth is a core regional issue; near-term requests are being vetted more strictly.

Use PJM and Interconnection.fyi generation queues as supply-pipeline context; queue depth does not equal deliverable capacity.

Loudoun shifted data centers from by-right treatment toward conditional/SPEX review for many sites.

Medium: water and generator permitting scrutiny are rising, though power/interconnection is the more visible bottleneck.

highhigh
Texas
Texas
Dallas-Fort WorthAustinSan Antonio
Verified 2026-06-16
ERCOT
ERCOT

Strong mix of cloud regions, colocation, and emerging on-site generation campuses; spot/marketplace prices can be attractive but operational quality varies.

ERCOT forecasts and public updates show major load-growth pressure from data centers and other large loads.

ERCOT reported roughly 410 GW of large loads seeking interconnection, about 87% data centers, as of March 26, 2026.

ERCOT reported more than 453 GW of active generation interconnection requests in February 2026, led by storage and solar.

State-level large-load interconnection process is changing; public concern focuses on reliability, cost allocation, and water.

Medium to high in water-stressed subregions; site-level cooling design matters.

highhigh
Ohio
Ohio
ColumbusNew AlbanyCentral Ohio
Verified 2026-06-16
PJM
PJM

Strong cloud-region relevance through AWS us-east-2 and expanding central-Ohio data-center demand.

PJM's load-forecast process includes large-load adjustment scrutiny; Ohio utilities are part of the debate.

AEP Ohio and manufacturing stakeholder disputes show material uncertainty in data-center load assumptions.

Use PJM generation queue and Interconnection.fyi as supply-pipeline context; queue capacity can be speculative.

Debate focuses on tariffs, cost allocation, and whether forecasts overstate committed load.

Medium: less severe than desert markets, but site-level cooling and community impacts still matter.

highmedium
Utah
Utah
Salt Lake CityBluffdaleEagle Mountain
Verified 2026-06-16
Western Interconnection
Other

Emerging hyperscale and western compute market; public GPU marketplace depth is weaker than established cloud regions.

Utah policy research reports substantial existing, under-construction, and planned data-center capacity.

Proposed multi-GW campuses make Utah a high-attention market even when specific cloud GPU offers are not yet visible.

On-site gas and utility-specific interconnection plans matter more than generic western queue totals.

Backlash centers on scale, water, emissions, and Great Salt Lake/desert impacts.

High: arid-region water stress and cooling choices are core buyer and community risks.

highmedium
Phoenix / Arizona
Arizona
PhoenixMesaChandler
Verified 2026-06-16
Arizona utilities / Western Interconnection
Other

Important western cloud and colocation market with growing AI demand, but fewer transparent GPU-market signals than PJM or ERCOT.

Arizona policy and media reports identify data centers and other large loads as a reliability and electricity-cost challenge.

Large-load pressure is visible but less standardized publicly than ERCOT's queue updates.

Use Western interconnection, utility planning, and EIA signals for context; public project-level supply visibility is limited.

Public debate centers on heat, water, and energy burden rather than a single state-wide moratorium.

High: desert water constraints and cooling demand are central buyer-risk factors.

mediummedium
Georgia / Southeast
Georgia
Atlanta metroDeKalb CountyDouglas County
Verified 2026-06-16
Southeast utilities
Other

Growing southeast compute market with strong fiber and enterprise demand; public GPU price transparency is weaker than marketplace-heavy regions.

Data-center ordinances and local planning activity show a fast-moving development market.

Large-load interest is visible through ordinances, utility planning, and project announcements, but not one unified public queue.

Interconnection.fyi and regional utility planning are the best V1 supply-pipeline proxies.

Local governments are actively drafting data-center ordinance language and review standards.

Medium: regional water concerns are site-specific and should be verified by county/utility.

mediummedium
Illinois
Illinois
ChicagoElk Grove VillageNorthern Illinois
Verified 2026-06-16
PJM / MISO
Other

Major Midwest connectivity and enterprise market; cloud GPU buyer value depends on provider-specific region availability.

State policy debate shows electricity-cost and grid-impact concerns around continued data-center incentives.

Large-load risk is visible through policy and market reports, but public project-level queues are fragmented.

Use PJM, MISO, and Interconnection.fyi queue context rather than a single market-only score.

Illinois officials have moved to slow or review tax-break driven data-center development amid power and water concerns.

Medium: generally lower scarcity risk than Southwest markets, but community and cooling concerns remain.

mediummedium
Oregon / Washington
Oregon, Washington
HillsboroPrinevilleThe Dalles
Verified 2026-06-16
Pacific Northwest utilities / BPA context
Other

Strong cloud-region relevance through AWS us-west-2 and Pacific Northwest data-center clusters.

Pacific Northwest reports and advisory processes identify data centers as a major electricity-demand driver.

Large-load pressure is visible in Oregon and Washington policy work, but public queues are utility-specific.

Use EIA, regional planning, and Interconnection.fyi as broad context; hydro and transmission constraints require local review.

Washington and Oregon policymakers are debating cost allocation, water, and grid expansion impacts.

Medium: lower scarcity than desert regions, but water quality/use and river-system impacts are active issues.

mediummedium

Source policy

PlanetGPU prioritizes official grid-market, utility, regulator, transmission, and permit sources. Secondary sources are used where official sources are fragmented or lagging, and each row carries source confidence. The V1 catalog is curated static data; automated ingestion and site-level capacity modeling are intentionally deferred.