Hyperscale and AI Data Centre CGI
Data centre CGI in the UK by StratumCGI converts campus
masterplans, MEP coordination models, and DNO grid drawings into
planning and investor visuals for hyperscale campuses, AI data
centres, edge colocation facilities, BESS compounds, and
electricity substations.
Visuals resolve campus massing, cooling plant scale, security
perimeters, power distribution logic, and substation positioning,
including programmes from 20 MW to above 200 MW and AI compute
halls running 40 to 80 kW per rack.
One coordinated 3D model then delivers verified planning
viewpoints, investor deck assets, and marketing imagery with
consistent technical detail across each project phase.
Data centre CGI resolves massing, security perimeter logic, MEP plant screening, substation positioning, cooling infrastructure, and campus phasing for the three audiences who evaluate a data centre scheme before it is built: planning teams, investor groups, and facility operators.
Each audience reads a different layer of the same image:
The first images resolve campus massing, security boundary definition, and substation relationship in a single coordinated view.
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Data centre CGI covers five infrastructure subtypes, each with its own image pricing band. Modelling is quoted separately.
Multi-phase campus massing, substation scale, and landscape mitigation for greenfield sites serving cloud and enterprise compute.
40 to 80 kW per rack, liquid cooling at scale, and accelerated phasing for GPU and machine-learning workloads.
Container layout, fire separation distances, and transformer compound for grid-support energy storage assets.
Transformer massing, switchgear building, cable routing, and screening strategy for the DNO grid connection.
Compact footprint, acoustic screening, and neighbour-sensitive context for urban and peri-urban edge sites.
StratumCGI produces the full data centre CGI suite from planning application drawings, MEP coordination models, and one coordinated 3D model. That single model furnishes verified viewpoints for the planning pack, campus renders for investor review, and operational stills for facility presentation.
Planning imagery is built from viewpoints agreed with the local planning authority, accurate surrounding context, and neutral exteriors with no illustrative occupancy cues.
Marketing and investor imagery draws on the same geometry, with camera angles positioned to foreground campus scale, lighting set to operational hours, and visible plant activity calibrated to read as a commissioned facility.
Planning teams evaluate massing impact, landscape mitigation, and transport assessment for a mission-critical facility.
Funds and infrastructure partners committing capital to speculative or pre-let data centre phases.
Facility managers and technical directors reviewing cooling, security, and MEP coordination.
Data centre CGI sits within StratumCGI's broader industrial CGI service, but this service page stays focused on how mission-critical digital infrastructure schemes are presented to planners, investors, and operators.
Share the facility type, MW capacity, campus layout, cooling strategy, and whether the CGI is for planning submission, investor presentation, or both. StratumCGI reviews each data centre brief before confirming scope and price.
Kiril leads StratumCGI's data centre CGI delivery. Contact him directly for briefs already in progress or with drawings ready to review.
Hyperscale data centre architectural visualisation is used to test phase-by-phase delivery logic before enabling works and full planning determination. For campuses delivering 20 MW to 100 MW per phase, the image set needs to show hall sequencing, plant expansion capacity, and how power infrastructure scales with each release package. UK schemes targeting Uptime Institute Tier III or Tier IV with N+1 resilience also require transformer, switchgear, and cooling capacity to read clearly in each frame.
StratumCGI builds this section from coordinated architecture, electrical, and civils issue packages so planners and investors can cross-check each view against the engineering intent:
Campus aerials present phase order, landscape buffers, and infrastructure dependencies in one decision frame. Ground-level stills then test facade screening, equipment visibility, and the visitor approach sequence at the gatehouse.
Hyperscale rendering sits at the most demanding end of data centre CGI, where campus scale, power infrastructure, and multi-phase delivery must all read in a single verified image set.
View the North West Hyperscale Data Centre case study (SCGI-002) for an example of hyperscale campus CGI.
AI data centre campus CGI resolves the higher power density, enhanced cooling requirements, and accelerated phasing that distinguish AI-ready facilities from conventional colocation builds. AI compute halls demand 40 to 80 kW per rack compared with 6 to 12 kW for standard enterprise workloads, which forces visible differences in cooling plant scale, power distribution architecture, and hall configuration.
StratumCGI models AI data centre schemes from the MEP engineer's cooling strategy and the architect's campus plan, ensuring technical fidelity:
AI data centre CGI renders 40 to 80 kW per-rack power commitment and liquid-cooling plant for investors, and massing and landscape compliance for planners, in a single coordinated image.
AI compute facilities extend the data centre CGI brief into liquid cooling, higher transformer density, and faster phasing, while the underlying model workflow and audience logic stay the same.
View the Hyperscale AI Data Centre Campus case study (SCGI-003) for an example of AI-focused campus CGI.
Edge and colocation facility CGI places smaller data centre buildings inside their urban or suburban context so planning officers can review massing impact, noise screening, and neighbour relationship in one view. Edge sites typically range from 1 to 5 MW, with compact footprints, lower building heights, and tighter security perimeters than hyperscale campuses.
StratumCGI produces edge and colocation imagery from street-level and aerial viewpoints that accurately represent the facility in its surrounding context:
Edge data centre CGI renders acoustic screening, visual amenity, and transport access for planning officers, and tenant flexibility and operational fit for investors, across 1 to 5 MW sites.
Edge colocation rendering keeps data centre CGI credible at the small-site end of the market, where neighbour impact and acoustic detail matter more than campus scale.
BESS and energy storage CGI renders the battery container arrangement, transformer compound, fire separation distances, and access road logic that make these facilities visually and operationally distinct from conventional industrial sites. Battery energy storage systems require strict separation zones, thermal management provisions, and clear emergency access that shape every element of the site layout.
StratumCGI models BESS schemes from the electrical engineer's layout plan and the fire strategy document, ensuring regulatory alignment:
BESS CGI renders fire separation distances and landscape screening for planning officers, and container storage density and DNO grid-connection logic for investors, in one planning-grade composition.
BESS compound rendering extends data centre CGI into the grid-support infrastructure that often shares a planning boundary with the main facility, keeping fire separation and transformer logic legible in the same visual package.
Electricity substation CGI renders the transformer arrangement, switchgear building massing, cable routing, and security boundary that define how grid infrastructure reads in a planning submission or investor presentation. Substations serving data centre campuses often require their own planning consent, with massing, screening, and access reviewed independently from the main data hall application.
StratumCGI models substation schemes from the DNO's layout drawings and the architect's screening strategy:
Electricity substation CGI renders the transformer compound, switchgear building, and screening strategy as a standalone planning application, while holding visual consistency with the wider data centre package.
Substation rendering closes the data centre CGI set at its power boundary, giving the DNO and the local planning authority a common visual reference for the equipment that actually energises the campus.
Data centre CGI is developed from architect's drawings, MEP coordination models, campus masterplans, and DNO layout plans so the same coordinated geometry can support planning scrutiny and investor presentation.
A typical deliverable set includes planning stills, campus aerials, investor deck assets, street-level perspectives, and cropped exports for funding presentations. Because these outputs are generated from one coordinated 3D model, the hall massing, plant screening, and site context remain consistent across every file.
Early briefing confirms camera positions, priority viewpoints, operational features, and approval dates before production starts. That preserves alignment between the visual package, planning submission programmes, investor milestones, and internal funding reviews on fast-moving UK data centre developments. Clients can then route the same approved geometry through StratumCGI's five-stage production process without rebuilding the proposal for each audience.
Planning-grade data centre CGI depends on named technical inputs rather than visual approximation. StratumCGI builds planning images from consultant drawings, MEP coordination models, site levels, and agreed viewpoints so planners can compare the render with the planning pack, environmental statement, and landscape strategy.
If the brief includes OS mapping, supplied BIM geometry, or verified site photography, those references are folded into the same base model before final rendering starts. That keeps the campus massing, substation compound, cooling plant screening, and security perimeter aligned with the material used by the local planning authority and the wider consultant team.
Data centre CGI now needs to show more than hall massing and cooling plant. Developers, investors, and planning teams often need the imagery to make PUE targets of 1.15 to 1.25, waste heat recovery routes to nearby district networks, on-site renewable generation arrays, rainwater harvesting, biodiversity net gain, and landscape buffers legible in the same frame.
When those features are handled properly, the render explains how sustainability measures sit within the operational logic of the campus rather than reading as decorative extras. That helps the same image support planning scrutiny, investor review, and occupier messaging without splitting the visual story into separate versions too early.
A high-performing data centre image does not begin as a picturesque rendering. The process starts by checking the raw architectural, MEP, and civil engineering data before any finish, lighting, or atmosphere is added.
StratumCGI ingests the campus masterplan, MEP coordination model, and DNO layout drawings directly from the consultant team, then blocks out the massing to ensure the approved geometry is correct.
Only once StratumCGI has checked the hall volumes, cooling plant profiles, substation compounds, and security boundaries against the planning pack does the visual refinement begin. At that stage, the coordinated model receives its specified cladding, lighting setup, and site context.
Cladding specifications are matched to exact RAL codes, light mapping is calculated to show the campus scale clearly, and context photography is integrated into the verified view set.
Render Validated
A-GRADE MARKETING
The completed image set merges absolute precision geometry with controlled lighting and context design. Material displacement and context scale are locked to the approved consultant plans prior to the final 4K render pass.
Planning submission
Funding and board review
Pre-let and leasing
Substation, BESS, and grid connection
| Subtype | Typical MW | Primary technical differentiator | Key planning risk | Core CGI output |
|---|---|---|---|---|
| Hyperscale campus | 20 to 200+ MW | Multi-phase campus massing and substation scale | Landscape and massing impact on greenfield sites | Campus aerial with phasing sequence |
| AI compute facility | 50 to 300+ MW | 40 to 80 kW per rack, liquid cooling at scale | Cooling plant bulk and accelerated phasing | Campus aerial with cooling infrastructure visible |
| Edge colocation | 1 to 5 MW | Compact footprint with acoustic screening | Noise impact and neighbour amenity | Street-level context view with screening |
| BESS compound | 10 to 100+ MW | Fire separation distances and container layout | HSE fire safety compliance | Compound aerial with separation zones |
| Electricity substation | Sized to campus MW | Transformer massing and switchgear building | Standalone consent with screening review | Elevated oblique with equipment positions |
Data centre CGI for urban schemes is judged at the residential window, not the developer aerial. In a StratumCGI review of 42 UK data centre planning applications published on public LPA portals between 2023 and 2024, most lacked Landscape Institute-accredited visual impact assessments (sample review, April 2026).
StratumCGI produces neighbour-perspective data centre CGI to Landscape Institute TGN 06/19 Verified View standards, so the imagery passes scrutiny under the Residential Visual Amenity Assessment threshold and the BRE 209 daylight-and-sunlight tests.
Neighbour-perspective verified views place the camera at agreed residential viewpoints rather than the developer's preferred angles. StratumCGI produces verified view packs to Landscape Institute TGN 06/19 standards.
Viewpoint selection, camera height, and lens specification are negotiated with the Local Planning Authority before production begins. Each viewpoint generates a Type 4 photomontage suitable for committee submission, planning appeal, and Section 73 mitigation discussions.
Community amenity rendering shows what the data centre site offers back to its neighbours. UK planning officers require data centre developers to demonstrate genuine public benefit at street level: pocket parks, walking routes, biodiversity net gain buffers, retained heritage frontages, and active ground-floor commercial space (Use Class E) integrated into the data hall envelope.
StratumCGI renders each of these features as a primary deliverable. In a StratumCGI review of 58 published UK data centre committee reports between 2020 and 2024, a minority included documented community activation as core design rather than a post-refusal negotiation (sample review, April 2026), so early-stage rendering of the public realm tilts the planning submission from infrastructure-first to community-first.
Residential context modelling resolves every visible house in the neighbour cone with accurate ridge heights, retained frontages, conservation-area features, and street furniture.
StratumCGI assembles this context layer from OS Mastermap data, planning consultant drawings, listed-building setting appraisals, and verified site photography, so surrounding properties resolve as the actual urban grain rather than placeholder massing.
Across the same 58-report StratumCGI sample review (April 2026), few UK data centre planning submissions paired RVAA with the BRE 209 property-by-property assessment format, which is the pairing committee officers recognise as evidentially rigorous.
Data centre CGI for urban sites carries a higher modelling scope than greenfield commissions. The residential neighbour cone, biodiversity buffer, and SME frontage all occupy the same image frame as the data hall and must resolve to the same level of fidelity for the visualisation to pass planning scrutiny.
The pricing section below itemises the unit price for the data centre CGI itself and the urban context modifier that applies when the site borders residential properties.
A unit-pricing core covers the per-image and per-model rates for greenfield and peri-urban data centre schemes. Context modifiers add to those base rates when the site forces heavier environmental modelling, most commonly for urban residential context.
Unit prices assume a greenfield or peri-urban site where environmental modelling covers OS mapping, light surrounding vegetation, and a handful of neighbouring buildings. Urban schemes carry an additional modifier itemised below.
Initial model and first image
From £2,200 to £2,800
Data centre CGI sits at £2,200 to £2,800 per image. Campus massing, MEP plant, security infrastructure, and substation compounds require more scene complexity than a single-elevation industrial unit. Modelling is quoted separately based on campus scope and MEP detail level.
Alternate version from same campus model
£880 to £1,120
Alternate images are priced at 40% of the full rate when the new view reuses more than 50% of the approved campus model. Typical cases: same campus at a different time of day, a cropped aerial, or a ground-level composition drawn from the same verified geometry.
Extra crops and deck exports
£150 to £350
Crop exports serve investor packs, portal assets, brochure layouts, and campaign variations drawn from the same master render without creating new geometry.
Major geometry change
From £1,200, re-quoted
Changed campus layouts, hall massing, power infrastructure, or planning facts move the work back into model-update territory, priced from approximately half the original scope upward.
Context modifiers add to the base environmental modelling fee when site location forces heavier context work. The most common case in UK data centre CGI is urban residential context, where every house in the visible neighbour cone needs accurate ridge heights, retained frontages, and street furniture rendered to verified-view standards.
Urban residential context uplift
+£4,500 to £6,000
Adds to the base environmental modelling fee when the site sits inside a city, borders a conservation area, or fronts sensitive residential properties. Covers dense surrounding housing modelled to ridge-height accuracy, retained heritage frontages, street furniture, biodiversity net gain buffer rendering, and higher-resolution neighbour-perspective context photography integration.
Scale example: A three-image urban edge colocation brief with active SME frontage and verified-view neighbour context typically lands at £15,000 to £17,000 all-in, against £10,000 to £12,000 for the same brief on a peri-urban greenfield site.
Data centre CGI priced per view converts a single modelling investment into a visual package that serves planning, investor, and operator audiences from one approved base. Later versions reuse the locked geometry rather than rebuilding the campus model for each output.
One coordinated CGI package delivers planning stills, investor deck assets, and operator review frames from the same locked model in days. Commissioning separate visual routes for each audience, waiting for temporary fit-out concepts, or rebuilding presentation materials for every positioning shift typically costs more and takes longer.
Data centre CGI on this page covers hyperscale campus, AI facility, edge colocation, BESS compound, and electricity substation imagery through the same service method, the same coordinated 3D model, and the same delivery workflow. Each infrastructure subtype carries a different visual priority, but the production method stays unified.
Data centre CGI still routes those subtype differences through the same three output contexts: planning submission, investor presentation, and operator review. The verified viewpoints, model controls, and delivery sequence stay shared, even when the operational emphasis shifts from one facility type to another.
The page explains data centre CGI as a UK commercial service for planning, investor, and operator audiences. The director commentary below adds the review logic behind the visuals, including planning scrutiny, investor evaluation, and the need for one model to serve more than one audience.
These questions cover the commercial and definitional gaps most first-time data centre CGI clients need answered before briefing the visuals.
Data centre CGI, also called data centre 3D rendering or data centre visualisation, is photorealistic architectural visualisation for hyperscale campuses, AI facilities, edge colocation shells, BESS compounds, and electricity substations. It is used to show how the scheme looks and how it operates, including campus massing, cooling infrastructure, security perimeters, and power distribution, before the facility is constructed.
In data centre planning, CGI stands for computer-generated imagery. On a data centre project, that usually means a 3D model and rendered stills that turn campus masterplans, MEP coordination drawings, and technical references into images for planning, investor review, or marketing use.
Most data centre CGI briefs at StratumCGI start from £2,200 for two agreed views. Larger campus packages are quoted by view count, supplied information, context complexity, verification requirements, and whether the same model needs to serve planning, investor, and operator outputs.
Data centre CGI is judged more heavily on infrastructure credibility than facade quality alone. The visuals need to communicate campus massing, cooling plant scale, power infrastructure, security perimeters, and phasing logic, often across planning and investor audiences at the same time. Warehouse CGI prioritises yard depth, dock rhythm, and occupier flexibility instead.
Typical outputs include planning stills, verified or planning-grade viewpoints, campus aerial renders, investor deck assets, cropped brochure exports, and infrastructure-specific compositions showing substation, BESS, and cooling plant details. The deliverable mix depends on whether the same model needs to answer planning, investor, or operational questions.
Data centre CGI reuses the same approved geometry when the campus massing, substation compound, cooling infrastructure, and security perimeter remain unchanged. Data centre CGI needs a new model stage when the campus layout, hall configuration, power distribution logic, or verified planning facts change.
Data centre CGI keeps the approved campus massing, substation compound, cooling plant positions, security perimeter, and landscape frame fixed between planning and investor images. Camera position, lighting, staging, and crop change to suit the audience without changing the approved scheme.
Data centre CGI treats hyperscale campus, AI data centre, edge colocation, BESS compound, and electricity substation imagery as variations within one coordinated service. The same 3D model, verified viewpoints, and delivery workflow stay in place while the infrastructure emphasis changes for each facility type.
Data centre CGI starts from £2,200 to £2,800 for the initial campus model, first agreed views, and core lighting setup. A typical 6-image data centre CGI project covers 3 campus exteriors and 3 infrastructure-specific compositions.
3 campus views: elevated aerial showing campus phasing, massing, and landscape context. Ground-level verified view for planning submission showing access, screening, and hall massing. Blue-hour hero shot for investor presentation showing campus scale, cooling infrastructure, and operational credibility.
3 infrastructure views: substation compound layout proving grid connection and equipment positioning. BESS compound composition proving fire separation and container arrangement. Cooling plant detail proving operational scale and screening compliance.
Indicative total for a typical five-image package: £4,500 campus modelling, £2,200 environmental modelling and site adaptation, then a mix of full-rate images and reuse-rate variants. New compositions at different camera positions stay at full rate (£2,200 to £2,800 each); lighting or crop variants of an existing approved view drop to £1,120 per image (40% of the full rate) where the new image reuses more than 50% of the main model. A realistic five-image brief of three new compositions plus two lighting variants lands at around £18,500 including post-production. Extra crops for investor decks cost £150 to £350 per export. Major geometry changes requiring a revised model start from £1,200 and are re-quoted against the new scope.
StratumCGI's data centre portfolio includes hyperscale campuses, AI facilities, and infrastructure compounds. Each case study documents the CGI scope, outputs delivered, and the specific communication challenges the visualisation addressed.
For the broader proof set beyond this data centre cluster, review the industrial CGI portfolio. It shows how StratumCGI applies the same planning-led and investor-ready methodology across logistics, data centre, infrastructure, and employment-land briefs.
Hyperscale campus CGI showing hall massing, cooling infrastructure, and security perimeter for a North West greenfield location.
AI-focused campus CGI demonstrating enhanced cooling scale, power density, and accelerated phasing for a hyperscaler pre-let.
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