AI Factory
delivered at speed and scale

From site planning and design to construction, IT deployment and operations. One partner integrates the facility, the hardware and the supply chain.

Taiwan's 1st NVIDIA Cloud Partner
27 MWGB300 & Vera Rubin AI Factory
800 VDCHigh-efficiency power architecture
PUE ≤ 1.1Design target by 2028
58Dedicated AI Factory professionals
Aerial rendering of the 27 MW hybrid AI Factory campus
27 MW Hybrid AI Factory · campus layout demonstration

Why Foxconn

Three pain points, one integrated answer

Challenge · Time to deployment

Rapid deployment

We secure key resources and integrate vertically from the application layer to the infrastructure layer, so the AI Factory goes live faster.

Challenge · End-to-end supply chains

Integrated ecosystem

One unified ecosystem connects and coordinates diverse AI Factory supply chains, enabling parallel execution at scale.

Challenge · Cost optimization

Cost efficiency

Foxconn's manufacturing, design and supply chain resources work together to optimize hardware cost and TCO.

What we deliver

End-to-end, from site to tokens

Tap a stage to see what it covers.

  1. 01
    EngineeringConcept to detailed design
    • Concept design
    • Equipment selection
    • Detailed design
    • Simulation & analysis
  2. 02
    ProcurementContractors and long-lead equipment
    • Contractor evaluation
    • Interface management
    • Long-lead-time equipment management
  3. 03
    ConstructionPermits, civil works, facilities
    • Permit application
    • Civil construction
    • Facilities installation
  4. 04
    CommissioningL1 to L5 testing
    • Commissioning testing (L1–L5)
    • Construction inspection
    • As-built inspection
  5. 05
    IT deploymentRacks in, network up
    • IT equipment deployment
    • IT equipment testing
    • Network bring-up
  6. 06
    AI services & operationsKeep the factory producing
    • AI compute service
    • AI model service
    • AI applications
    • AI Factory operations
    • Maintenance service

Build types

Choose the build that fits your time to market

Estimated lead time for a 10 MW AI DC, in months

Hybrid data center rendering: steel building with modular cooling and power units

Hybrid DC (HDC)

12–18 months10 MW estimate

  • Balance between customizability and rapid deployment
  • IT equipment in a steel-structure building
  • Modular cooling and power equipment

Vertical integration

From components to the whole factory

Foxconn builds every layer, so design, supply and delivery stay in one hand.

Components

L3 · L5 · L6
Cold plateManifoldQDBusbarPower modulePCB / PCBAEnclosureChassis

AI server

L10 · L11
Compute traySwitch trayStorage trayRack

AI DC ecosystem

L12+
ITHVACPowerStructure & auxiliary

Design roadmap

Toward PUE ≤ 1.10 and near-zero water

Cooling and power evolve with each NVIDIA generation to raise tokens per watt.

2026GB300
< 1.30PUE
87%Liquid cooled
—WUE
BaselineCooling energy

Power: 480 VAC

2027Vera Rubin
< 1.20PUE
96%Liquid cooled
< 1WUE
−15%Cooling energy vs 2026

Power: HVDC 800 V with power center

2028Vera Rubin next-gen
< 1.10PUE
TBCLiquid cooled
≈ 0WUE
−30%Cooling energy vs 2026

Power: HVDC 800 V with SST

2027 and 2028 figures are design targets. Cooling energy is compared with our 2026 GB300 design.

Digital twin

Built virtually first with NVIDIA® Omniverse DSX™

Our 27 MW AI Factory has a full digital twin for engineering validation and deployment.

Digital twin view of the Foxconn 27 MW data center
01Simulate & predictPhysics simulation with DSX SimReady finds risks before deployment.
02OptimizeReal-time PUE with DSX Flex tunes performance and efficiency.
03ImproveOT monitoring validates results and feeds the next cycle.

A closed loop for maximum tokens per watt

Reference designs

Start from a proven unit, then scale

Next-gen hybrid AI Factory: steel-structure IT halls with modular power and cooling.

27 MW campus rendering
27 MW
3.3 MW site rendering
3.3 MW
Spec27 MW3.3 MW
IT load (incl. network)22 MW2.8 MW
GB300 racks144
16 per POD
16
GPUs10,3681,152
Architecture9 ComputePOD
+ 1 CorePOD
1 SuperPOD
Area8,232 m²
147 × 56 m data hall
4,183 m²
89 × 47 m total
Power module5 MW0.5 MW
Uptime Tier III (N+1)Estimated PUE ≤ 1.200.136 MW per GB300 rack72 GPUs per rack

Global strategic partners

A proven ecosystem behind every build

IT

NVIDIA · Dell · HPE · Gigabyte · Arista · Cisco · Oracle · NetApp · WEKA

HVAC

Vertiv · Schneider Electric · Johnson Controls · YORK · SPX · Trane · Munters · Carrier

Power

ABB · Delta · Eaton · Siemens · Caterpillar · Kohler · TECO

EPC & commissioning

Exyte · WSP · Uptime Institute · TECO

Let's discuss your AI Factory project

Share a few details and our AI DC team will review your inquiry and get in touch.

Contact our AI DC team