What We Deliver

Balanced infrastructure for today’s data centers and emerging AI needs.

Traditional Data Center Infrastructure

Compute
Compute Infrastructure
For Virtualization and Enterprise Workloads
Rack Servers
Rack Servers Optimized
For Performance, Density, and Serviceability
Storage
Storage Infrastructure
For Backup, Archive, Surveillance, and Data Platforms

AI Infrastructure

GPU
GPU Compute Systems
For Inference and AI Pilots
AI Pod
AI Pod Starter Architecture
(Single-Rack Concept) For Scalable adoption

Reference Solution Blocks

We engage through BOQs using repeatable infrastructure blocks.

DC Compute Block

Rack servers for enterprise compute

DC Storage Block

Storage-focused systems for data workloads

AI Compute Block

GPU compute for AI inference and pilots

AI Pod (Starter Blueprint)

Packaged approach for structured AI adoption

Traditional DC vs AI Infrastructure

Not every data center is AI-only. We support both.

Traditional DC

  • Virtualization
  • Apps, storage, databases
  • Enterprise IT
Traditional Data Center

AI Infrastructure

  • GPU compute
  • Inference, AI pilots
  • Development stacks
AI Infrastructure
Balanced approach: design for reliability today while preparing for AI growth

BOQ Mapping & Deployment Readiness

Built around infrastructure outcomes—not just hardware. We support:

BOQ
to architecture mapping

Configuration &
BOM alignment

Density guidance
(1U vs 2U vs 4U)

Deployment readiness
(staging + acceptance checklist)

Lifecycle framework
(warranty / AMC / SLA options)

Support Model

Infrastructure requires operational discipline.

OEM
warranty support options
Escalation and
resolution framework
SLA-based support available
(project-dependent)
Serviceability & spares planning
(as required)

Who We Work With

Ideal engagements with

System Integrators with
active BOQs
PSUs / Government institutions
planning refresh
Enterprises building private
cloud / on-prem infrastructure
Research labs and
compute-intensive teams