AI TrainingUnder Construction

QTS Cedar Rapids

Cedar Rapids, Iowa, US

Supply Chain

Not yet available

SCRUTICA.COM

Epoch AI Frontier Data CentersLast refreshed Jul 24, 2026

Capacity, hardware inventory, ownership chain, and supply-chain position for QTS Cedar Rapids. Any export-control exposure is walked through the canonical organization graph — surfacing when the BIS Entity List touches a node above the facility in the chain — rather than asserted at the facility row.

Ownership & Control

Visibility Data Gap

As of 2026-07-27

Ownership chain not yet available; the facility row has no documented operator or owner org. The panel will populate once a primary or secondary source assigns one and the next refresh lands.

Parties at This Site

1 record

Every organization on record at QTS Cedar Rapids, with the role it plays and the source for that specific claim. A party marked inferred is recorded as a reading of the cited source rather than something the source states outright.

Power provider

Alliant EnergyPower Provider
Source: Epoch AI Frontier Data Centers · Tier 2

Allied Coordination Gap · OPAQUE

Facility has neither an operator nor an owner organization populated. Coordination-gap classification cannot proceed.

View on the Allied Coordination Gap analyzer →

Description

QTS Cedar Rapids sits alongside a Google data center in Big Cedar Industrial Center. It is divided into two phases which are expected to be completed in late 2026 and late 2027. We estimate its power capacity based on satellite images and 3D renderings of the air-cooled chillers lining each building. The compute capacity is based on this power capacity and the assumption that the best available NVIDIA AI servers will be used for each phase. The estimated power for phase 1 is consistent with a 6

Notes

Epoch estimation methods: our cooling equipment power model, chip availability, grid operator data.

Nearby Facilities (within 100 km)

Google Cedar Rapidsai training Cologix DSM2colocation

Other Facilities in US

Data quality · 1 flag

source_url_contains_claim_verified

See methodology validation #6 →

Verification provenance

Cited

Frontier Data Centers — methodology

Epoch AI · Epoch AI · published November 1, 2025 · Scrutica accessed May 19, 2026 · CC-BY 4.0

This row enters Scrutica via Epoch's Frontier Data Centers corpus (data_source: epoch-ai). Epoch's published methodology derives estimates from satellite imagery (SkyFi, Sentinel-2, Google Earth), permitting documents, and corporate disclosures; the page's published uncertainty validation covers cooling-model error — as much as 2× higher or lower than model estimates in theory, with validated error of 1% on the two ground-truth cases Epoch holds and ≤50% against indirect references such as chip-quantity-derived IT power. Scrutica stores Epoch's authority_tier (2) and source_url on the row itself, so the chain back to the originating verification work is auditable from this page.