Blueprint-Driven
Architectural Integrity
SCALABLE DESIGN INSPIRED BY NVIDIA BASEPOD & SUPERPOD REFERENCE ARCHITECTURES
We do not assemble clusters component by component.
We design them using a blueprint-driven architecture model
inspired by proven BasePOD and SuperPOD principles.
Every deployment follows a layered, validated framework
where compute, high-speed fabric, storage, and control
plane are engineered as a unified system — not isolated
parts.
This approach eliminates architectural bottlenecks before
they appear and ensures predictable scalability from day
one.
Deployment Packages
Structured engagement models aligned with cluster scale, performance requirements, and operational maturity.
BASE
Single Rack
Best for: Proof of Concept and Small AI Pods
✔ Single rack or small pod deployment
✔ Kubernetes or Slurm installation
✔ Basic monitoring and health validation
✔ Standard Ethernet networking
✔ Initial workload validation
SCALE
Multi Rack
Best for: Growing AI Infrastructure and Multi-Rack Expansion
✔ Multi-rack architecture design
✔ InfiniBand or RoCE fabric tuning
✔ Shared or parallel storage integration
✔ Run:ai installation and GPU allocation policies
✔ Performance validation and optimization
ENTERPRISE
Mission Critical
Best for: Production-Grade AI Factories and Mission-Critical Environments
✔ High-availability control plane
✔ Dual fabric and redundancy validation
✔ Air-gapped deployment workflows
✔ Disaster recovery planning and failover validation
✔ Operational runbook and knowledge transfer
Blueprint-Driven
Architectural Integrity
SCALABLE DESIGN INSPIRED BY NVIDIA BASEPOD & SUPERPOD REFERENCE ARCHITECTURES
We do not assemble clusters component by component.
We design them using a blueprint-driven architecture model
inspired by proven BasePOD and SuperPOD principles.
Every deployment follows a layered, validated framework
where compute, high-speed fabric, storage, and control
plane are engineered as a unified system — not isolated
parts.
This approach eliminates architectural bottlenecks before
they appear and ensures predictable scalability from day
one.
Deployment Packages
Structured engagement models aligned with cluster scale, performance requirements, and operational maturity.
BASE
Single Rack
Best for: Proof of Concept and Small AI Pods
✔ Single rack or small pod deployment
✔ Kubernetes or Slurm installation
✔ Basic monitoring and health validation
✔ Standard Ethernet networking
✔ Initial workload validation
SCALE
Multi Rack
Best for: Growing AI Infrastructure and Multi-Rack Expansion
✔ Multi-rack architecture design
✔ InfiniBand or RoCE fabric tuning
✔ Shared or parallel storage integration
✔ Run:ai installation and GPU allocation policies
✔ Performance validation and optimization
ENTERPRISE
Mission Critical
Best for: Production-Grade AI Factories and Mission-Critical Environments
✔ High-availability control plane
✔ Dual fabric and redundancy validation
✔ Air-gapped deployment workflows
✔ Disaster recovery planning and failover validation
✔ Operational runbook and knowledge transfer
