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AI Inference Racks, Delivered as Containers.

Production-ready compute in weeks—not years. SCX.ai delivers containerised AI rack deployments designed for rapid, repeatable rollout—so AI becomes a procurement decision, not a construction project.

Rapid deployment

Deployable in as little as 30 days and often marketed as ~90 days end-to-end—dramatically faster than 18–24 months for traditional builds.

Air-cooled efficiency

Designed for standard air-cooling with ~10kW power positioning—avoids exotic liquid cooling retrofits.

Clear economics

Built for validated performance-driven models (token economics, TCO/ROI framing) versus uncertain payback and integration risk.

Time to ProductionContainerised deployment vs traditional build timelinesContainerisedTraditional build~30–90 days18–24 monthsSource: SambaNova positioning cites deployable in as little as 30 days and often referenced as ~90 days vs. 18–24 months.

Plug-and-play footprint

Deploy where there’s power + network.

Managed option

Reduce internal AI ops burden; focus on customers and workloads.

Scale path

From small cluster to ~1MW growth trajectory.

How it works: from factory to inference

Our containerised approach removes the complexity of traditional data centre construction. We pre-integrate the entire stack—compute, networking, and software—so you focus on the outcome, not the build.

1. Factory Integration

Racks are assembled, cabled, and software-imaged in our secure facility. We validate performance benchmarks and thermal stability before shipping.

2. Site Prep

Minimal requirements: a concrete pad or secure floor space, standard 3-phase power connection, and a high-speed network uplink. No complex liquid cooling loops needed.

3. Delivery & Install

The container arrives via standard logistics. Our field engineering team secures the unit, connects power/network, and performs physical safety checks.

4. Remote Turn-up

The SCX.ai operations centre remotely activates the cluster, establishes the secure management tunnel, and hands over API endpoints for inference.

Operational Responsibilities

Customer / Site Host

  • Physical security (perimeter access, surveillance)
  • Stable utility power & backup generator (if critical)
  • Network cross-connect to carrier or campus backbone

SCX.ai & Partners

  • Hardware lifecycle management & break-fix
  • 24/7 Remote monitoring of thermal/power health
  • Software stack updates, security patching, and optimization

Who it’s for

Data centres & colo operators

Launch inference capacity fast; monetize demand.

Enterprises

Private inference, sovereignty, predictable rollout.

Gov/critical infra

Deploy where speed + control matter.

What’s included

  • Containerised rack deployment (factory-validated, repeatable)
  • Commissioning & bring-up (power/network validation)
  • Inference platform integration (model serving, observability)
  • Operations options (customer-managed or fully managed)

Why “inference-first”

Most organizations don’t need a training megafactory to win. They need fast, efficient inference that can be deployed repeatably—close to data, customers, or compliance boundaries.

Cooling & Facility ImpactStandard air cooling vs exotic retrofit requirementsAir-cooled design• Positioned at ~10kW and air-cooled• Minimal facility overhaul• Faster commissioningLiquid retrofit path• Often requires new cooling loops• Higher integration risk• Longer construction lead timesSource: SambaNova materials and coverage emphasize ~10kW air-cooled operation and avoiding exotic liquid cooling infrastructure.
Deployment Blueprint (High Level)Containerised inference racks connect to power + network; software stack delivers managed inferenceSite prerequisites• Power• Network• Space / access• Security controlsContainerised racks• Pre-built container• AI rack(s) inside• Air-cooled profile• Rapid commissioningInference services• Model serving• Observability / SRE• Access controls• Usage-based economics

Ready to accelerate your AI infrastructure?

Site power + network check, rack sizing, and rollout plan.

Book a deployment assessment
SCX.ai Containerised Deployment for AI Racks