
Leviathan Deploys Megawatt-Scale AI, Without Building a Traditional Data Center
Leviathan delivers 1.77 MW of AI infrastructure, operational in 12 weeks.
1.77 MW
IT envelope
576
GB300 NVL72 GPUs / unit
2.2 MW
Cooling capacity
.12 acres
Footprint per unit
50 MW+
Cluster scale path
Megawatt AI Infrastructure, Delivered as a System

Leviathan is Armada's largest Galleon form factor, purpose-built for GPU-dense AI infrastructure at megawatt scale. Each unit integrates compute, networking, liquid cooling, UPS-backed electrical distribution, and monitoring into a single deployable architecture.
It is not a shell, enclosure, or containerized room. It is a complete AI infrastructure system — power, cooling, compute, networking, controls, and software in one deployable architecture — optimized for 5 MW to 20 MW and designed to scale to 50 MW and beyond.

- 01
1.77 MW IT envelope per unit
- 02
Up to 576 NVIDIA GB300 GPUs per unit
- 03
Future-Proof IT Module: Vera Rubin, Rubin Ultra, Feynman
- 04
Liquid-first cooling
- 05
UPS-backed electrical distribution
- 06
Integrated monitoring & controls
- 07
NVIDIA Quantum InfiniBand & Spectrum-X support
- 08
Aligned to NVIDIA Reference Architectures
The Fastest Way to Deploy a Turnkey AI Factory

An AI Factory is not a general-purpose data center. It is a production system designed to convert power, GPUs, data, and software into AI output at scale.
That requires high-density compute, liquid cooling, low-latency networking, orchestration, tenant isolation, observability, billing, and operations designed to keep GPUs productive. Leviathan provides the physical infrastructure. Bridge provides the software layer. Together, they create a complete AI Factory stack.

AI Factory
Start with a site
- Land
- Power
- Connectivity
- Local requirements
Bridge
- Orchestration
- Multi-tenancy
- Utilization
- Observability
- Billing
- Marketplace
Leviathan
- GPUs
- Networking
- Cooling
- Power
- UPS
- Monitoring
AI Output
- Inference
- Model deployment
- Fine-tuning
- Training
Engineered for
Megawatt-Scale AI Workloads
GPU Configuration
- GB300 NVL72 GPUs per unit576
- GPU super cluster, 8-unit configuration4,608
- GPUs per unit with HGX B300 / B200512
- Compute racks at 200 kW each08
- Networking racks at 42.5 kW each04
Power Envelope
- IT envelope1.77 MW
- Utility interface480V / 60Hz
- Power distributionUPS-backed modular power distribution
Thermal Architecture
- Cooling capacity2.2 MW
- CircuitClosed-circuit liquid loop, direct-to-chip
- Liquid-to-air cooling ratio80 / 20
- Chiller configurationN+1 chiller configuration, air-cooled heat rejection
- Water infrastructureNo onsite water infrastructure required
Physical Dimensions
- NVIDIA Quantum InfiniBand, NDR800 Gb/s
- SupportNVIDIA Spectrum-X support
- ArchitecturesAligned to NVIDIA Reference Architectures
- Dimensions36,300 × 13,600 mm (approx. 119 × 45 ft)
From Site-Ready to
Operational AI Capacity
Leviathan deploys on prepared land with available utility power and network connectivity. Armada's solution co-review process defines the final configuration, site interface, cluster topology, and deployment plan before hardware ships.
- 01
Site
assessment - 02
Solution
co-review - 03
Site
readiness - 04
Delivery &
connection - 05
Operational
AI capacity
What the site needs to provide:
- Land sufficient for the Leviathan footprint and service clearance
- 480V / 60Hz utility service metered to Armada specifications
- Network connectivity
- Local regulatory coordination: grounding, metering, permitting
What Leviathan delivers:
- IT infrastructure module, compute & networking racks
- UPS-backed electrical plant
- Mechanical plant and chillers
- Liquid-first thermal architecture, monitoring & controls
The Complete AI
Factory Stack
Leviathan deploys on prepared land with available utility power and network connectivity. Armada's solution co-review process defines the final configuration, site interface, cluster topology, and deployment plan before hardware ships.
Bridge:
Software Layer
- GPU orchestration
- Workload scheduling
- Multi-tenant access
- Job telemetry
- Utilization visibility
- Billing and metering
- Marketplace integration
Leviathan:
Infrastructure Layer
- GPU capacity
- Cooling
- Power
- Distribution
- Networking
- Monitoring
- Horizontal scale
Start With Megawatts.
Scale to AI Factory Campuses
Leviathan is designed to scale horizontally. A single unit delivers 1.77 MW of IT capacity. Four units form a Pod. Multi-unit deployments target 5–20 MW and scale to 50 MW and beyond.
1 Leviathan
1 Leviathan · 1.77 MW
Factory-built AI infrastructure in a single deployable unit.
1 Leviathan Pod
4 Leviathans · 5.35 MW
Multi-unit cluster architecture from four integrated units.
5-20 MW Deployment
3 - 12 Leviathans
For operators bringing regional, enterprise, or sovereign AI capacity.
50 MW+ Cluster
29 Leviathans
Designed for AI Factory Campus expansion as demand grows.
Built for Operators with Land, Power, Customers, or Sovereign Demand
Add AI Capacity Without Waiting on a Full Facility Build
For data center operators, Leviathan provides a faster path to GPU-dense expansion. Deploy alongside existing facilities or on adjacent land, reduce integration complexity, and use Bridge to offer managed AI compute services to customers.
Why Leviathan
- Faster path to GPU-dense expansion
- Deploy adjacent to existing facilities
- Bridge for managed compute services
Convert Underutilized Power Into AI Infrastructure
Industrial sites, former manufacturing facilities, renewable generation assets, and utility-adjacent land often hold power that is difficult to monetize through conventional means.
Ideal Site Profiles
- Former industrial or manufacturing facilities
- Renewable generation assets with excess capacity
- Utility-adjacent land with available grid connection
- Remote locations with stranded or underutilized power
Launch Regional AI Capacity Before the Window Closes
Neoclouds need to bring capacity online quickly in specific geographies. Leviathan gives operators a faster path to deploy GPU infrastructure and offer AI compute in markets where hyperscaler capacity is constrained, expensive, or misaligned.
Time to Market
- Traditional Build - 18–24 months
- Leviathan - 12 weeks from site-ready
Deploy AI Capacity Under Sovereign Control
Government agencies and regulated institutions need AI infrastructure that aligns with data residency, access control, availability, and oversight requirements.
Sovereignty Capabilities
- Full data residency within jurisdiction
- Customer-controlled access at every layer
- Workload isolation via Bridge multi-tenancy
- No hyperscaler dependency
Schedule a Technical Exchange
Start With a Site Assessment
Tell us about your land, power, connectivity, and target capacity. Leviathan is designed for customers with available or planned megawatt-scale power capacity. Armada's engineering team will evaluate site fit and recommend a deployment path.
- Request a Site Assessment
- Talk to a Deployment Engineer
- Download the Technical Summary
