RC-3 / MULTI-RACK

AI POD

A Complete Modular AI Infrastructure Unit.

Illustrative scale progression from AI appliance and rack to modular data-center cluster
ILLUSTRATIVE ARCHITECTURE · FINAL CONFIGURATION FOLLOWS WORKLOAD & SITE

Multiple racks and their supporting infrastructure integrated as one local AI system.

01 / OVERVIEW

Overview

Multiple racks and their supporting infrastructure integrated as one local AI system.

02 / WHAT IT DOES

What it does

  • Government AI nodes
  • Industrial AI clusters
  • Regional compute
  • Digital-twin infrastructure
  • Remote-site private AI
03 / SYSTEM ARCHITECTURE

System architecture

01Compute
02Storage
03Network
04Power
05Cooling
06Monitoring
07Security
RC-3 / AI POD · INTEGRATED SYSTEM
CONFIGURATION-DEPENDENT

Cluster Architecture

Compute NodesStorageHigh-Speed FabricManagementPowerCooling

At pod scale, accelerator choice affects network topology, rack density, cooling architecture and power demand.

04 / CONFIGURATION OPTIONS

Configuration options

  • Rack count and compute mix
  • Shared storage and networking
  • Power distribution and backup
  • Thermal architecture
  • Monitoring and physical access
05 / APPLICATIONS

Applications

06 / SITE REQUIREMENTS

Site requirements

  • Space for the complete system and service access
  • Engineered electrical connection
  • Cooling plant and thermal interfaces
  • Network connectivity and access control
07 / POWER & COOLING

Power & cooling

Power, cooling and redundancy are engineered across the pod rather than individual racks alone.

08 / SECURITY & CONTROL

Security & control

The pod can combine physical access control, controlled network integration and local monitoring.

Security by Design. From Day One.

Security can be evaluated as a configurable design consideration across compute, network, data, model and agent interfaces.

Selected controls and integration scope require project-specific validation. A complete AI cybersecurity platform is not included by default.

Explore Security & Governance
09 / EXPANSION

Expansion

Add racks and expand power, cooling and network interfaces in planned increments.

10 / TECHNICAL DATA

Technical data

S1 CAPABILITYREFERENCE CONFIGURATIONCONFIGURATION-DEPENDENTSUPPLIER REFERENCE

Capabilities describe system integration. Reference configurations show an implementation path. Exact values follow project engineering. Supplier references remain provider statements.

PROJECT-VALIDATED is reserved for confirmed S1 customer configurations. No project-validated product values are published here.

FIELDVALUESTATUS
ScaleMulti-rack systemS1 CAPABILITY
Core layersCompute / storage / network / power / cooling / monitoring / securityCONFIGURATION-DEPENDENT
Rack countConfiguration-dependentCONFIGURATION-DEPENDENT
Capacity and redundancySubject to final engineeringCONFIGURATION-DEPENDENT
Site interfacesDefined during configurationCONFIGURATION-DEPENDENT
CONFIGURATION-DEPENDENT
GPU typeRack countRack densityCooling architecturePower capacityBESS capacityRedundancyEnvironmental rangeNetwork architectureCertificationsDeployment timeline
11 / REQUEST CONFIGURATION

Request configuration

Product Evidence

AVAILABLE NOW

S1 CAPABILITY
  • Multi-rack integration architecture
  • Power, cooling and monitoring integration
  • Security and network integration

CONFIGURE PER PROJECT

CONFIGURATION-DEPENDENT
  • GPU / CPU / memory / storage
  • Rack quantity and network
  • Power and cooling capacity
  • Battery and redundancy
  • Site and security interfaces

VALIDATE BEFORE COMMITMENT

TBD
  • Final bill of materials
  • Environmental and seismic requirements
  • Certifications
  • Exact delivery schedule
  • Final workload performance

Available architecture does not establish stock availability or a project delivery date. RC-2 and RC-3 remain S1 system architectures pending a dedicated supplier configuration.

Tell us what must run, where it must run and how quickly you need capacity.

Configure Your AI Infrastructure
NEED A BROADER SYSTEM PROJECT?

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Rapid Compute?

Rapid Compute focuses on deployable AI infrastructure.

Projects requiring full digital project modeling, industrial simulation, energy architecture or multi-domain infrastructure integration can continue through S1 SYSTEM.

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S1 SYSTEM
Model the World. Build the System.