RC-2 / RACK

AI RACK

Rack-Scale AI Capacity.

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

Compute configuration
follows the workload.

01 / OVERVIEW

Overview

Integrated rack-scale compute combining AI servers, storage, networking and local AI runtime.

02 / WHAT IT DOES

What it does

  • Private LLM and GPU workloads
  • Government and industrial AI
  • Video intelligence
  • Local model deployment
  • Simulation and analytics
03 / SYSTEM ARCHITECTURE

System architecture

01GPU / CPU compute
02Memory
03Local storage
04High-speed network
05AI runtime
06Monitoring
07Power interface
08Cooling interface
RC-2 / AI RACK · INTEGRATED SYSTEM
CONFIGURATION-DEPENDENT

Compute Platform Follows the Workload.

  1. 01ACCELERATOR
  2. 02SERVER
  3. 03MEMORY
  4. 04STORAGE
  5. 05NETWORK
  6. 06POWER + COOLING
04 / CONFIGURATION OPTIONS

Configuration options

  • Workload-led accelerator selection
  • CPU, memory and storage configuration
  • Network architecture
  • Private AI runtime
  • Monitoring and access controls
05 / APPLICATIONS

Applications

06 / SITE REQUIREMENTS

Site requirements

  • Rack footprint and service access
  • Site electrical capacity
  • Cooling interface and heat rejection
  • Network uplink and controlled access
07 / POWER & COOLING

Power & cooling

Air, liquid or hybrid cooling is selected around rack configuration and site capability. Rack power density is project-specific.

08 / SECURITY & CONTROL

Security & control

Private deployment, network segmentation and local monitoring are configured around customer requirements.

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

Expand compute and storage within the rack, then add racks through an engineered pod architecture.

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
ScaleRackS1 CAPABILITY
ComputeGPU / CPU / accelerators, workload-dependentCONFIGURATION-DEPENDENT
GPU vendorOpen, subject to availability and regional requirementsCONFIGURATION-DEPENDENT
Power and coolingSubject to final engineeringCONFIGURATION-DEPENDENT
PerformanceValidated for the selected workloadCONFIGURATION-DEPENDENT
CONFIGURATION-DEPENDENT
GPU typeRack countRack densityCooling architecturePower capacityBESS capacityRedundancyEnvironmental rangeNetwork architectureCertificationsDeployment timeline
11 / REQUEST CONFIGURATION

Request configuration

Product Evidence

AVAILABLE NOW

S1 CAPABILITY
  • AI server, storage and network integration
  • Private model runtime architecture
  • Power and cooling interfaces

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?

Need More Than
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.

Explore S1 SYSTEM

S1 SYSTEM
Model the World. Build the System.