Product architecture

Time to revenue, matched to the chip cycle.

Compute generations turn over in months; infrastructure cannot take years. Alex AI packages AI infrastructure by deployment path, so capacity lands on the cycle's clock. Start with the site condition: greenfield campus, container-first, modular IDC growth, indoor retrofit, grid-constrained power, or water-sensitive operations.

  • Green · ESG
  • Modular by design
  • Integrated supply chain
  • Waterless cooling
  • Multi-source power
  • Factory-validated
Deployment systemsCore systems · Rev 2026.06

Packaged systems for launch, scale, campus, and retrofit.

Each deployment system combines the physical layers required for AI capacity: IT load, power distribution, liquid cooling, controls, commissioning, and project delivery. Power, cooling, resilience, and controls modules configure to the site.

Core deployment systemPilot path

A factory-integrated containerized AI capacity unit for proving workloads and starting operations before a larger build is complete.

  • First capacity on an energized site
  • Workload proof before full-campus commitment
  • Deploy-now, migrate-later strategy
  • Early revenue while permanent infrastructure progresses
  • 2 to 4 month single-container deployment path

What it solves

QuickStart gives operators a contained starting point. A deployable AI module that can be commissioned, monitored, and later redeployed or migrated into a permanent hall as the site matures.

Paired modules

Direct-to-chip liquid cooling · dry or low-water heat rejection · Power Pod · common controls layer

Validation path

Designed for factory integration checks, project-defined FAT, onsite SAT, and staged migration into indoor or campus-scale infrastructure.

Plan a QuickStart deployment

Core deployment systemPhased expansion

A repeatable block of IT, cooling, and power infrastructure designed to grow in planned increments.

  • Modular IDC expansion
  • Demand-led capacity growth
  • Scaling from a first module to a multi-block deployment
  • Standardized repeatability across sites

What it solves

ScalePod turns AI infrastructure into a repeatable growth unit. Instead of redesigning each phase, operators expand around a shared design basis for power, cooling, controls, and commissioning.

Paired modules

IT containers · CDU and dry-cooler modules · power distribution interfaces · Power Pod integration · monitoring and commissioning protocols

Validation path

Commercial motion is phased expansion: start with the first block, then repeat as demand and power availability increase.

Map a ScalePod buildout

Core deployment systemCampus program

Containerized infrastructure rows that integrate into a full AI campus program.

  • Greenfield AI infrastructure campuses
  • Multi-stage capacity programs
  • Full-site buildouts
  • Utility, generation, and long-lead equipment coordination

What it solves

Campus Deployment Blocks give owners a repeatable campus fabric: power, cooling, IT, controls, logistics, and commissioning planned as a site-level program rather than a collection of isolated containers.

Paired modules

Transformer and switchgear packages · Power Pods · gensets or BESS where project-scoped · thermal plant modules · direct-to-chip cooling · controls

Validation path

Electrical topology, capacity, and compliance pathway are confirmed during engineering review. FAT and SAT planning are scoped as part of the campus program.

Scope a campus program

Core deployment systemSite-engineered

A high-density AI infrastructure system fitted into an existing industrial shell or stranded-power asset.

  • Existing buildings, warehouses, or industrial shells
  • Stranded power assets
  • Owners who want to avoid a new campus build
  • High-density indoor deployments

What it solves

Indoor Retrofit turns usable shells into AI-capable infrastructure. Power rooms, rack layouts, liquid cooling loops, heat rejection, controls, and commissioning are designed around the constraints of the existing asset.

Paired modules

CDU and dry-cooler connection · transformer and switchgear · controls layer · optional exterior QuickStart container for deploy-now capacity while indoor work proceeds

Validation path

Retrofit programs may start with containerized capacity outside the shell while indoor work progresses. Once the permanent hall is live, racks migrate inside and containers redeploy, remain as expansion, or support transitional capacity.

Assess a retrofit site

Scenario fitSix site conditions · Rev 2026.06

Start with the site. Then choose the system.

Alex AI products are organized by deployment motion, not standalone equipment. The same core platform configures around different power sources, building types, cooling pathways, and commercial timelines.

Power condition
Site format
Deployment motion
Scenario fit matrix: scenario, primary system, likely modules, and commercial path
ScenarioPrimary systemLikely modulesCommercial path
Energized site, first AI workload QuickStart Deployment Unit Direct-to-chip cooling, Power Pod if needed, controls Pilot path
Phased modular IDC growth ScalePod System Repeatable IT, cooling, and power blocks Phased expansion
Greenfield campus buildout Campus Deployment Blocks Power infrastructure, thermal plant, controls, commissioning Campus program
Existing industrial shell or stranded asset Indoor Retrofit System Indoor rack plan, CDU and dry cooler, transformer and switchgear, controls Site-engineered
Grid-constrained or multi-source power site Any core deployment system Power Pod, gensets, BESS, renewables, switchgear Engineering review
Water-sensitive location Any core deployment system Direct-to-chip liquid cooling, dry or low-water heat rejection Configured by site

Filters dim non-matching scenarios. All six remain visible.

System architectureFull physical chain · Rev 2026.06

From power source to deployable AI capacity.

The product system spans the full physical chain: energy source, electrical conversion, power distribution, thermal removal, IT capacity, controls, validation, and support.

FIG · COMPLETE SOLUTION ARCHITECTURE FROM POWER SOURCE TO DEPLOYABLE AI CAPACITY
POWER SOURCES UTILITYGAS GENERATIONSOLARWINDBESS ELECTRICAL YARD TRANSFORMERSWITCHGEARPROTECTION INTEGRATION POWER POD power integration CONTROLS · MONITORING DEPLOYMENT CAPACITY QUICKSTARTSCALEPODCAMPUS BLOCKSINDOOR RETROFIT THERMAL · COOLING PATHWAY CDUDIRECT-TO-CHIP LOOPDRY / LOW-WATER REJECT VALIDATION · WARRANTY VALIDATION SCOPED ACROSS DELIVERY FACTORY INTEGRATION · FATSITE ACCEPTANCE · SATCOMMISSIONINGWARRANTY PACKAGE
ENERGIZED POWER PATH COOLING LOOP CONTROLS · DATA hover a zone → that path highlights, others dim · no voltage / kW shown
Thermal pathwaysDesign pathways · Rev 2026.06

Cooling is configured by workload and site.

Cooling is not a separate product line. It is a design pathway selected for density, climate, water constraints, and operating model.

Thermal pathway

A liquid-cooling pathway for high-density AI racks, engineered around validated rack, CDU, fluid, and heat-rejection requirements.

Detail

Configurable with CDU modules, supply and return loops, leak detection, monitoring, and project-specific heat rejection. Supports high-density AI infrastructure without a blanket claim on every future rack platform.

Paired component

Cooling controls and leak-detection integration ship as a paired component of this pathway, scoped with the project rather than sold as a separate product.

Scope a cooling pathway

Thermal pathway

A dry or low-water heat-rejection pathway for sites where evaporative water dependency is a constraint.

Detail

Actual water use depends on climate, heat load, redundancy, and project configuration. Publicly described as waterless or low-water · site conditions determine the exact pathway.

Review a water-constrained site

Thermal pathway

A modular cooling interface connecting IT capacity to the site's heat-rejection system.

Detail

Supports containerized deployments, campus blocks, and indoor retrofit systems. Redundancy, temperature ranges, fluid selection, and maintenance access are scoped during engineering review.

Pair a CDU module

Power infrastructureUpstream modules · Rev 2026.06

Power modules for constrained sites.

Power infrastructure is the upstream layer that makes the deployment system viable. Alex AI packages generation, storage, conversion, switching, distribution, and controls around the project · not a fixed electrical topology.

FIG · POWER POD · MULTI-SOURCE → AI-GRADE BUILT FOR NORTH AMERICA'S GRID
UTILITY · GRIDSOLARWINDGASBESS POWER POD site-configured power AI-GRADE POWER AI COMPUTE energized racks
ENERGIZED PATH COOLING SOURCE FEED sources cycle · pulses flow → merge → one clean output
Power infrastructure module

A modular power integration layer that connects utility service, onsite generation, storage, renewable inputs, and distribution into the AI infrastructure system.

Detail

Site-configured. Supports grid, renewables, behind-the-meter generation, BESS, transformer and switchgear integration, and controls. Raw voltage values belong in the technical pack.

Configure a Power Pod

Power infrastructure module

Onsite generation capacity for projects where utility interconnection, resilience, or timeline requires a behind-the-meter power strategy.

Detail

Fuel type, emissions controls, permitting, interconnect, runtime, and operating strategy are project-specific.

Scope onsite generation

Power infrastructure module

Battery energy storage configured for power quality, bridging, source blending, or project-specific operating strategy.

Detail

A configurable module, not a universal guarantee of backup duration or arbitrage performance. Sizing, chemistry, and operating logic are scoped during engineering review.

Size a BESS module

Power infrastructure module

Long-lead electrical equipment coordinated inside the delivery scope to reduce schedule risk.

Detail

Can include transformers, switchgear, protective equipment, and utility interfaces. AHJ and NRTL coordination is scoped at a capability level. Exact protection schemes and one-line diagrams belong in the technical pack.

Coordinate long-lead equipment

What rounds out the program · Controls, sustainability & assurance

  • Unified controls layer
  • Energy mix and carbon reporting support
  • IRA / incentive alignment support
  • UPS / distribution interface (when project-scoped)
Phased deploymentDeploy now · Move indoors later

Containerized first. Indoor later.

When the permanent data center is not ready, containerized capacity lands first. The site starts producing while the indoor facility is designed, permitted, or built. When the building is ready, capacity migrates indoors · or the modular system stays as expansion capacity.

01
Deploy containers.

Factory-integrated modules arrive first and energize on prepared power.

02
Build in parallel.

Permanent shell, indoor electrical rooms, and cooling infrastructure progress while capacity is already running.

03
Migrate or expand.

Racks move indoors, remain modular, or extend into a hybrid campus on the same design basis.

ValidationSix layers across delivery

Validated before shipment. Verified again on site.

AI infrastructure projects fail when integration is left until the final site phase. Alex AI scopes validation across design, factory integration, shipment, commissioning, and warranty documentation · so the delivered system has clear responsibility at every handoff.

01

Design Basis Review

Workload, rack, thermal, power, site, and compliance assumptions are reviewed before configuration is locked.

02

Supplier and Production QA

Critical equipment, module assembly, and project-specific interfaces are reviewed against the delivery scope.

03

Factory Integration Checks

Modules are assembled and checked before shipment, including integration points across power, cooling, controls, and physical fit.

04

Factory Acceptance Testing

FAT is scoped by project before delivery so installation teams are not discovering integration issues for the first time on site.

05

Site Acceptance Testing

Onsite commissioning and SAT verify interconnection, controls, cooling behavior, power readiness, and operating conditions after installation.

06

Warranty Framework

Warranty is scoped around the delivered system, vendor components, and project terms · with clear boundaries across compute, power, cooling, controls, and site works.

Product comparison: system, deployment role, what it solves, and commercial path
SystemDeployment roleWhat it solvesCommercial path
QuickStart Deployment UnitFirst containerized capacityBrings workloads online before the full build is completePilot path
ScalePod SystemRepeatable growth blockExpands power, IT, and cooling in planned incrementsPhased expansion
Campus Deployment BlocksFull containerized campusTurns a power-ready site into repeatable AI capacity rowsCampus program
Indoor Retrofit SystemIndoor or existing-shell deploymentConverts stranded assets into high-density AI infrastructureSite-engineered
Power PodPower integration moduleCoordinates utility, generation, storage, and distributionConfigured with project
Waterless Cooling PathwayThermal architectureReduces evaporative water dependency for water-constrained sitesConfigured with project

Ready to scope your site?

Tell us the site condition and deployment timeline. We'll map the right system and modules and open a technical review.