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AI-ready retrofit of an operating data centre

01 / AI-READY RETROFIT

Modernise the live facility.
Unlock AI capacity.

IUNOVRA redesigns power, cooling, controls and heat rejection around the workload—reusing viable grid connections and assets while planning for operational continuity and creating a controlled path to high-density AI infrastructure.

DESIGN BEFORE DEPLOYMENT / TRANSFORM THE FACILITY, NOT ONLY THE EQUIPMENT

THE NEED

Reuse the site. Remove the constraints.

Many existing facilities have valuable grid access, buildings and installed assets, but cannot support the intended AI workload without upgrades. Retrofit targets the limiting power, cooling and control interfaces before a new build is considered.

01

Density gap

Existing rack and airflow limits may not support the target accelerator heat load.

02

Cooling constraint

Air-based systems can become inefficient or capacity-limited at higher heat densities.

03

Power limitation

Distribution, redundancy and controls must be redesigned around the target workload.

04

Live-site risk

Modernisation must protect uptime, safety and operational continuity.

THE IUNOVRA RESPONSE

One design across the facility.

Power, cooling and controls must work together. IUNOVRA defines their interfaces and operating limits before equipment is selected.

WHAT YOU RECEIVE

What the assessment delivers

Deliverable
A measured baseline, retrofit design and phased implementation scope.
Site requirements
Existing electrical capacity, cooling interfaces, equipment compatibility and live-operation constraints.
Integration scope
Cooling, power, controls and telemetry interfaces identified in the design.
Acceptance criteria
Agreed thermal, electrical and operational tests against the baseline—not a generic PUE promise.
Support responsibilities
Commissioning, handover, maintenance boundaries and responsibility for existing equipment.
Scope and availability

Technical descriptions include reference designs and configuration options. The proposal separates demonstrated functions, integrations to validate and development work; only the agreed scope is included. Performance and service commitments follow the acceptance criteria.

DELIVERY MODEL

From assessment to operation.

1

Discover

Workload, baseline and success criteria.

2

Survey

Site measurements and constraint mapping.

3

Engineer

Detailed design and implementation roadmap.

4

Implement

Controlled works and staged commissioning.

5

Validate + scale

Measured results and portfolio rollout decision.

TECHNICAL DEPTH

Retrofit is a system redesign—not a cooling equipment swap.

The engineering scope connects the workload, the live facility and the operating model. Every intervention is sized against measured constraints and commissioned against a defined baseline.

Concept of a dual-socket server retrofitted with compact sealed processor cold plates and flexible coolant hoses

DIRECT-TO-CHIP RETROFIT

Replace the heatsink. Retain the server where compatible.

Compact sealed cold plates replace conventional processor heatsinks on compatible systems. Flexible coolant lines connect the processors to the wider cooling loop, with mounting, clearances and residual airflow validated for each server.

  • Cold plates matched to processor and mounting geometry
  • Flexible supply and return coolant connections
  • Server-level compatibility and cooling validation

HOW RETROFIT WORKS

Capture heat at the chip.
Move it out of the building.

Cold plates are the starting point—not the whole solution. IUNOVRA integrates the server interface, cooling circuits, controls and heat rejection around the existing facility.

Conceptual cooling chain: server cold plates transfer heat through a CDU heat exchanger to a separate facility circuit, with pumps and a dry cooler rejecting heat to outdoor air. Red indicates heat out; blue indicates cooled return.
From processor heat to outdoor heat rejection. View full-size illustration ↗
Explore the five cooling stages
  1. 01

    Capture

    Processor cold plates

    Liquid absorbs heat directly from compatible CPUs and GPUs, reducing the heat left for room air cooling.

  2. 02

    Control

    Coolant distribution unit

    The CDU regulates the server cooling circuit. In a liquid-to-liquid design, a heat exchanger separates it from facility coolant.

  3. 03

    Circulate

    Pumps + distribution

    Pumps maintain the required flow and pressure in each circuit. Distribution and redundancy are engineered for the site.

  4. 04

    Reject

    Outdoor heat rejection

    A dry cooler transfers facility-loop heat to outdoor air where temperatures permit. Additional cooling depends on the climate and design.

  5. 05

    Return

    Closed cooling circuits

    Cooled fluid recirculates within each circuit. The server-side supply returns to the cold plates for the next cycle.

Two connected functions. Separate circuits where required. Heat passes through the CDU heat exchanger; server coolant and facility coolant do not need to mix.

Conceptual functional sequence—not a piping diagram. Equipment, temperatures and residual air cooling are validated per site.

Engineering scope and compatibility checks
THERMAL

Liquid-cooling architecture

Direct-to-chip loops, CDUs, manifolds, water quality, redundancy and heat rejection are engineered as one hydraulic system.

ELECTRICAL

Power-path readiness

MV/LV distribution, UPS topology, busways, protection and rack delivery are checked against the target density and resilience class.

FACILITY

Brownfield integration

Space, structure, pipe routes, maintainability, fire strategy and live-site sequencing determine what can be reused and what must change.

CONTROLS

Measured operating baseline

Meters, sensors and BMS/DCIM integration establish the before-state and verify PUE, thermal stability, capacity and savings after commissioning.

OPERATIONS

Transition without losing control

Method statements, change windows, rollback plans, testing and operator training reduce risk while the facility remains in service.

INTELLIGENCE

InfraMind optimisation

The digital twin connects asset condition, capacity, energy and workload behaviour to continuous operational decisions.

VALUE + DECISION MODEL

Four pathways—selected by the constraint, not by a headline return.

The 700-rack, 13.3 MW reference asset is a screening example. It shows how different constraints change the intervention; it is not a forecast for a specific facility.

01 / LOWER COMPLEXITY

Efficiency-first retrofit

  • Keep the existing power envelope
  • Illustrative PUE: 1.90 → 1.35
  • Preserve rack count and footprint

Use when grid and space are constrained. The value is lower facility energy per unit of IT load and released power headroom.

02 / SPACE AVAILABLE

Capacity expansion

  • Reuse released power headroom
  • Additional racks sized to validated PUE
  • Demand and fit-out must be validated

Use when spare or modular space exists and there is contracted demand for additional capacity. Reusing all released headroom increases compute capacity rather than preserving the full electricity saving.

03 / WORKLOAD-LED

Density upgrade

  • Illustrative density: 10 → 15 kW/rack
  • 700 racks at full reference load
  • 14.18 MW facility demand at PUE 1.35

This exceeds the original 13.3 MW envelope. Add power capacity or reduce the active rack/load requirement; higher rack density alone does not establish suitability for every AI workload.

04 / GRID-LED

AI-grade transformation

  • Illustrative density: up to 50 kW/rack
  • Major grid and electrical upgrade
  • Anchor demand required before commitment

Use only where power, permits, financing and committed AI demand support a phased high-density transformation.

HOW THE CASE IS VALIDATED

1

Verify the baseline

Use metered IT and facility load, utilisation, tariff, occupancy, contracted pricing and the full operating-cost base—not nameplate power alone.

2

Engineer the delta

Model PUE and capacity improvement by phase, with redundancy, climate, load profile and commissioning tolerances.

3

Build the investment case

Separate gross energy savings, incremental revenue and full lifecycle costs. Confirm who pays for electricity and who retains savings under the customer contract.

4

Contract and measure

Tie the project to customer demand, payment milestones, M&V methodology and post-commissioning performance.

Reference sensitivity: at a constant 7 MW IT load, improving PUE from 1.90 to 1.35 releases approximately 3.85 MW and yields about €4.7M in theoretical gross annual electricity savings. A further PUE sensitivity of 1.25 releases 4.55 MW and yields about €5.6M. Both use 8,760 operating hours and €140/MWh (€0.14/kWh), before CapEx, maintenance, other operating costs, financing and tax. These are site-dependent scenarios—not EBITDA or guaranteed savings.

CUSTOMER BENEFITS

What changes for the customer.

Density

EXISTING CONSTRAINTCooling limits constrain higher-power racks.

RETROFIT OPPORTUNITYEnable higher-density workloads where power, cooling and server compatibility allow.

Efficiency

EXISTING CONSTRAINTAir cooling carries a larger share of processor heat.

RETROFIT OPPORTUNITYMove heat directly into liquid and validate the effect on PUE and operating cost.

Asset reuse

EXISTING CONSTRAINTAI upgrades can trigger a new-build discussion.

RETROFIT OPPORTUNITYRetain suitable buildings, grid connections and equipment; upgrade what constrains the workload.

Implementation

EXISTING CONSTRAINTA major replacement can create operational disruption.

RETROFIT OPPORTUNITYSequence surveys, pilots and installation in controlled phases with agreed maintenance windows.

The opportunity is site-specific. Density, savings and installation timing are established through assessment and validation—not assumed from a universal multiplier.

Retrofit improves facility readiness; it does not turn existing CPUs into AI accelerators. Server compatibility, warranty, residual air cooling and the target compute configuration must be checked. Where site constraints outweigh reuse benefits, a POD or a new facility may be the better design.

How this connects to the wider IUNOVRA platform

WHY IT IS STRATEGIC

More than a project.
A platform advantage.

Fast route to constrained capacity

Brownfield modernisation can bring capacity online faster than a new-build cycle.

Financeable efficiency

Verified energy savings may support green loans, leasing or performance-linked structures.

Platform entry point

Retrofit opens the installed base for AI POD, storage, InfraMind and managed operations.

LET’S DISCUSS YOUR PROJECT

Bring your requirements.
We design the next step.