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Data PrivateStorage Solutions

AI Infrastructure

Infrastructure Built for AI at Scale

Sourcing, configuration and deployment support for accelerated computing environments where density, throughput and thermal design determine outcomes.

Overview

Accelerated Computing, Specified Correctly

AI infrastructure decisions are rarely constrained by ambition. They are constrained by the power envelope available at the rack, the cooling capacity of the room, the interconnect bandwidth between nodes and the availability of the components a configuration depends on.

iVerified works from the workload requirement backwards into a viable configuration. We begin with what the environment has to do, then reconcile that against the physical and commercial limits of the site — so the specification that reaches your procurement team is one that can actually be built, powered, cooled and delivered.

Consideration Areas

Workload profile
Training, fine-tuning, inference or mixed
GPU density
Accelerators per node and per rack
Interconnect and fabric
Node-to-node and cluster topology
Power and cooling envelope
Per-rack draw and heat rejection method
Rack and floor constraints
Depth, weight loading and aisle access
Storage throughput
Sustained read and write for the data pipeline
Deployment timeline
Lead times against the installation window

Solution Categories

What We Specify and Source

Each category is scoped independently, then reconciled into a single configuration so compute, fabric, storage and the physical layer are consistent with one another.

GPU Computing

Multi-accelerator compute nodes specified around the workload they will carry, with attention to per-node power draw, airflow path and the number of accelerators a rack can realistically support.

  • Rackmount and multi-GPU chassis options in 2U to 8U form factors
  • Air-cooled and liquid-cooled configurations, including rear-door and direct-to-chip approaches
  • PCIe and SXM-based platform variants matched to interconnect requirements
  • Host CPU, memory and NVMe sizing balanced to accelerator throughput

NVIDIA HGX-Class Infrastructure

Configuration and sourcing support for HGX-class server platforms available through the channel, documented at the part and revision level so the build can be reviewed before it is ordered.

  • Baseboard, memory and storage configuration captured in writing
  • High-speed interconnect options for multi-node scaling
  • Thermal and power validation against the intended rack position
  • Firmware and platform documentation collected with the order

High-Performance Computing

Cluster building blocks for simulation, modelling and data-intensive research where sustained throughput matters more than peak figures on a single node.

  • Compute, head and login node roles specified separately
  • Low-latency fabric options for tightly coupled workloads
  • Parallel storage throughput sized to the job profile
  • Scale-out paths defined so later phases reuse the same topology

Data Centre Infrastructure

The supporting layer that determines whether a compute order can be installed on schedule: racks, power distribution, containment and the physical detail of the aisle.

  • Racks and enclosures specified for depth, weight loading and cable management
  • PDU and power distribution options, including metered and switched variants
  • Hot and cold aisle containment considerations
  • Structured cabling, patching and optics selected per link budget

Enterprise Networking

Fabric design and hardware sourcing for east-west traffic between accelerated nodes, alongside the management and storage networks that sit beside it.

  • Top-of-rack and spine-leaf topologies for predictable oversubscription
  • High-speed Ethernet and InfiniBand switching options
  • Transceivers, DACs, AOCs and fibre selected per distance and port type
  • Out-of-band management and console access designed in from the start

Use Cases

Where These Environments Are Deployed

Model Training and Fine-Tuning

Environments where accelerator count, interconnect bandwidth and checkpoint storage throughput govern how long a run takes. Configurations are sized for sustained load rather than short bursts.

Inference at Scale

Serving infrastructure specified around concurrency, latency targets and memory footprint per model, with node profiles that can be replicated as demand grows.

Research and Simulation

Tightly coupled numerical workloads that depend on low-latency fabric and predictable node-to-node performance across a cluster, alongside shared parallel storage.

Data Engineering and Analytics

Pipelines where ingest, transformation and query throughput are bound by storage bandwidth and network capacity as much as by processor selection.

How Engagement Works

A Documented Sequence, From Requirement to Delivery

Every engagement follows the same six steps, so the path from workload requirement to delivered hardware can be traced and reviewed at any point.

  1. 01

    Requirement Intake

    We document the workload, the site conditions and the constraints that cannot move: available power per rack, cooling method, floor space, existing fabric and the date the environment has to be live.

  2. 02

    Specification and Configuration

    Components are matched to the workload and to each other — accelerator platform, host CPU and memory, storage tier, fabric and rack layer — then checked against the thermal and power envelope of the intended location.

  3. 03

    Sourcing and Availability

    Supply routes are reviewed against current channel lead times. Where a component extends the timeline, alternatives are presented with the technical trade-off stated plainly rather than assumed.

  4. 04

    Verification and Documentation

    Part numbers, revisions, configuration detail and quantities are recorded so your technical team can review exactly what is being quoted before any commitment is made.

  5. 05

    Quotation and Terms

    Pricing, inclusions, exclusions, delivery terms and validity are issued in writing, structured so procurement and finance can evaluate the order without further interpretation.

  6. 06

    Logistics and Delivery

    Freight, export documentation, insured transit and scheduled site or data centre delivery are coordinated, with staged deliveries sequenced against your installation window where required.

View the procurement practice

Send Us Your Workload Requirements

Describe the workload, the site constraints and the timeline. We will return a documented configuration and quotation for review.

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