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Updated 6/22/2026

Data Center Vendor Directory

A vendor directory for data center capacity buyers comparing operators, fiber providers, cooling vendors, power partners, and advisory sources.

By Simon Jester, Editor

Simon Jester is GigaCapacity's editor covering AI infrastructure capacity, data center power, cooling, and provider selection.

Compare campus fiber, transport, cloud on-ramp, carrier-neutral, and internet exchange providers by buyer fit.
Compare direct-to-chip, immersion, CDU, and facility-scale cooling providers for high-density AI workloads.
Use this profile to assess VoltaGrid for modular onsite power, bridge power, and phased data center expansion needs.
Use this profile to assess GE Vernova for data center grid risk, site integration, energy planning, and interconnection diligence.
Use this profile to assess Scale Microgrids for onsite energy centers, microgrid finance, and data center speed-to-power decisions.
Use this profile to assess Bloom Energy for onsite power, fuel-cell systems, and data center power strategy.
Use this profile to assess Submer for immersion cooling, modular liquid-cooled deployments, and high-density infrastructure.
Use this profile to assess Eaton for data center electrical infrastructure, UPS, switchgear, and microgrid architecture.
Use this profile to assess CoolIT Systems for direct liquid cooling components and AI/HPC thermal design.
Use this profile to assess LiquidStack for high-density liquid cooling, direct-to-chip, and immersion cooling decisions.
Use this profile to assess Schneider Electric for integrated power, cooling, controls, and high-density AI environments.
Use this profile to assess Vertiv for thermal management, power, UPS, and liquid cooling infrastructure decisions.
Use this profile to assess Crusoe as an AI cloud and large-scale AI data center capacity option.
Use this profile to assess CoreWeave as a managed GPU cloud and AI infrastructure capacity path.
Use this profile to assess Switch for high-density AI, cloud, and enterprise data center procurement.
Use this profile to assess CoreSite for carrier-neutral colocation, interconnection, and AI data center connectivity decisions.
Use this profile to assess NTT Global Data Centers for multinational AI and high-density colocation requirements.
Use this profile to assess CyrusOne fit for hyperscale, high-density, and AI data center procurement.
Use this profile to assess QTS fit for hyperscale campus, single-tenant, and large AI capacity requirements.
Use this profile to assess DataBank fit for U.S. metro colocation, HPC-capable sites, and AI infrastructure procurement.
Use this profile to assess Digital Realty fit for high-density colocation, interconnection, and AI infrastructure procurement.
Use this profile to understand where Equinix fits in AI infrastructure procurement and what to verify before shortlisting.
Compare top U.S. colocation providers for AI workloads by rack density, liquid cooling, interconnection, compliance fit, and buyer verification questions.

How should buyers use the vendor directory?

Start with the infrastructure layer that constrains the decision: capacity, power, cooling, fiber, interconnection, finance, or development. Then use the provider profiles and source-backed buyer guides to compare fit, caveats, and the questions to verify before procurement.

Vendor layerBuyer questionNext step
Capacity platformsWhere can AI workloads be deployed with enough power and density?Review capacity, colocation, and provider profiles.
Fiber and interconnectionWhich providers connect campuses, clouds, carriers, and exchanges?Review fiber, interconnection, and profile pages.
Cooling vendorsWhich cooling architecture fits the rack density and facility design?Review liquid cooling provider comparisons and cooling profiles.
Power and financeWhat cost, utility, and procurement constraints shape the shortlist?Review power, cost planning, and onsite power profiles.

What belongs in a provider profile?

A useful provider profile should explain the buyer problem the company helps solve, the infrastructure layer it operates in, public evidence for capability claims, buyer-fit caveats, and related source records. Profile coverage should not imply a universal ranking or current availability without a sourced, date-aware claim.

Which provider profiles are available?

The directory now includes profile pages for recurring infrastructure entities across colocation, GPU cloud, cooling, power, microgrids, interconnection, and advisory work. Use those pages as a first-pass diligence layer, then verify facility, product, power, cooling, network, pricing, and delivery details directly with the provider.

Methodology

Vendor layers are grouped by commercial buyer question, public source evidence, and relevance to AI data center capacity decisions. The directory avoids unsupported provider rankings and treats current availability as a diligence item.

Comparison Table

NameCategoryBest FitEvidenceBuyer Caveat
Capacity and colocationProvider layerLease, build, or colocate AI infrastructure capacity.Use operator pages, market reports, and facility-specific disclosures.Do not assume current capacity is available without confirming facility, power, and term.
Fiber and interconnectionProvider layerConnect campuses, clouds, carriers, internet exchanges, and metro or long-haul routes.Use provider route pages, data center connectivity pages, PeeringDB, and cloud on-ramp references.Provider footprint and route diversity change by address and facility.
Cooling and powerProvider layerMake high-density AI racks feasible inside the selected facility or campus.Use vendor product pages, operator requirements, and analyst guidance.Compatibility depends on rack density, facility water loop, commissioning, warranties, and service coverage.

FAQ

Does the GigaCapacity vendor directory rank providers?

No. Provider rows are organized by buyer fit and sourced public evidence. Buyers should verify current capacity, route diversity, service regions, and commercial terms directly.

Which vendor layer should AI data center buyers evaluate first?

Start with the binding constraint. For a new campus, power and fiber may come first. For colocation, facility capacity, cooling support, cross-connect economics, and cloud on-ramps often shape the shortlist.

Sources

Next Steps