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Laboratório MackLeaps | Scrutica

Laboratório MackLeaps Facility Intelligence

Hyperscale DCOperational

Laboratório MackLeaps

Brazil

Supply Chain

Not yet available

SCRUTICA.COM

osm-datacenters-expandedUpdated Apr 19, 2026

Facility-level telemetry including power capacity, hardware deployments, supplier relationships, and downstream dependencies. Linked to with cross-referenced BIS Entity List matches.

Detailed intelligence on Laboratório MackLeaps. Tracks operational capacity, ownership structure, and the facility's strategic position within the global AI supply chain, including relevant export control restrictions.

Corrected Apr 1, 2026→

Ownership & Control

Visibility Data Gap

As of 2026-04-27

Ownership chain data not available — facility record does not yet have a documented operator or owner org. Once a primary or secondary source assigns an operator (Scrutica facility ingest pipeline), this panel will populate automatically on the next refresh.

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 →

Notes

Osm Type: node
Osm Id: 12754371024
Osm Tags: telecom=data_center
Water Risk Score: 1
Water Risk Label: Low
Baseline Water Stress: 0.95
Water Risk Source: wri-aqueduct
Water Risk Methodology: Country-level BWS from WRI Aqueduct 4.0

Nearby Facilities (within 100 km)

Equinix SP1 - São Paulocolocation AZURE Brazil Southhyperscale dc GCP South America East 1hyperscale dc AWS South America (São Paulo)hyperscale dc OCI Brazil East (Sao Paulo)hyperscale dc PIX Samm Floridacolocation

Other Facilities in Brazil

Armazém Cloud

Joinville, Brazil

Ascenty Infraestrutura de Data Centers

Brazil

AWS South America (São Paulo)

São Paulo, Brazil

Sources

Epoch AI Frontier Data Centers
OpenStreetMap Overpass (data centers)
PeeringDB Facility Registry
FactSet Revere Supply Chain
SEC/Company Filings (10-K, 10-Q)

Processing

Facility metrics derived from GPU inventory, power capacity, and FLOP estimation engine. Supply chain relationships from FactSet Revere. BIS Entity List cross-referencing via canonical organization mapping.

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AZURE Brazil South

São Paulo, Brazil