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Expansion Theme · AI factories, power, cooling, networking and edge infrastructure · Updated 9 May 2026

Data Centres & Digital Infrastructure

AI is becoming a physical infrastructure buildout. This page tracks the companies supplying the data-centre layer: power systems, thermal management, liquid cooling, racks, switchgear, optical networking, high-speed interconnect, contract manufacturing, edge compute and data-centre real estate.

Maturity: Scaling fastCapital intensity: Very highBest angle: power + cooling bottlenecksRisk: capex digestion + valuation

Overview

Data centres have become the physical substrate of AI. The bottleneck is no longer just chips; it is power availability, thermal density, liquid cooling, networking, switchgear, optical interconnect, grid interconnection, backup power, land, water and construction speed.

The best investable angle is often not the hyperscaler itself, but the infrastructure supplier that benefits from multiple hyperscalers and cloud customers. Vertiv, Modine and Celestica are category anchors; smaller electrical, optical and manufacturing suppliers become interesting when they sit on a real bottleneck.

StrongAI demand pull
Very Highcapital intensity
Criticalpower/cooling bottleneck
Highvaluation risk

Stock Table

RankCompanyTickerRoleCategoryResearch view
1VertivVRTPower, cooling, thermal systems and data-centre infrastructureCategory anchorBest public AI data-centre infrastructure anchor; valuation discipline required.
2ModineMODThermal management, data-centre cooling and HVAC systemsCooling / thermalStrong data-centre sales momentum; working capital and capacity-expansion costs matter.
3CelesticaCLSAI data-centre infrastructure, switches, servers and advanced manufacturingAI infrastructure manufacturingMajor AI infrastructure beneficiary; no longer small but highly relevant.
4Credo TechnologyCRDOHigh-speed connectivity, SerDes and optical/DSP infrastructureInterconnectPure data-movement bottleneck; high growth and valuation sensitivity.
5CoherentCOHROptical components, lasers, transceivers and photonicsOptical infrastructureAI optical networking and photonics exposure; cyclical balance-sheet considerations.
6Bel FuseBELFA / BELFBPower conversion, magnetic components, connectivityPower componentsInteresting smaller power/connectivity supplier; verify data-centre mix carefully.
7nVentNVTElectrical enclosures, power distribution and infrastructureElectrical infrastructureStrong electrification/data-centre adjacency; larger, quality industrial.
8Digital Realty / EquinixDLR / EQIXData-centre real estate and colocationREIT referenceInfrastructure anchors, but valuation and power availability matter.

Value Chain Map

LayerWhat it suppliesNamesInvestment note
Power and electrical systemsUPS, switchgear, power distribution, busbars, backup systemsVertiv, nVent, Bel FusePower is becoming the AI bottleneck.
CoolingAir cooling, liquid cooling, heat exchangers, thermal managementVertiv, Modine, nVentHigh-density AI racks push cooling requirements higher.
Compute manufacturingServers, switches, systems integration, hyperscale manufacturingCelestica, Flex, Jabil referenceLess glamorous but deeply embedded in AI infrastructure.
Networking/interconnectOptics, cables, DSPs, SerDes, switches, transceiversCredo, Coherent, CelesticaData movement can become more limiting than raw compute.
Real estate / edgeHyperscale sites, colocation, edge data centresDLR, EQIX, private operatorsPower availability and leasing spreads determine returns.

Sub-Themes

  • AI data-centre power systems
  • Liquid cooling and thermal management
  • High-speed optical networking
  • AI server and switch manufacturing
  • Backup power and grid interconnection
  • Edge data centres and colocation

Market Forces

  • Hyperscaler capex: cloud AI buildouts are the main demand driver.
  • Power scarcity: grid constraints delay or reprice data-centre projects.
  • Rack density: hotter AI racks pull demand toward liquid cooling and advanced thermal systems.
  • Optical bandwidth: AI clusters need faster, lower-power data movement.
  • Capex digestion: an AI infrastructure pause would hit the most extended suppliers.

Technology Deep Dive

AI factories are dense electromechanical systems. GPUs and accelerators require power distribution, voltage conversion, cooling loops, network fabrics, optical modules and high-throughput manufacturing. Bottlenecks move: first chips, then networking, then power, then cooling, then grid interconnection.

BottleneckWhy it mattersPublic angle
Power availabilityData-centre sites cannot scale without electricity and distribution gear.Vertiv, nVent, Bel Fuse.
Thermal densityAI racks push heat loads beyond traditional air cooling.Vertiv, Modine.
Network bandwidthTraining clusters require low-latency, high-bandwidth data movement.Credo, Coherent, Celestica.
Manufacturing capacityHyperscale AI systems require reliable production partners.Celestica.
Water and resilienceCooling and climate constraints connect data centres to water and energy.Water/energy pages.

Company Profiles

1. Vertiv · VRT

Power and cooling infrastructure for data centres

Vertiv is the public-market category anchor for AI data-centre infrastructure. It supplies power, cooling, racks, monitoring and services to data-centre customers.

  • Recent evidence: Reports around Q4 2025 highlighted Q4 revenue of about $2.88bn, backlog of roughly $15bn and 2026 sales guidance around $13.25bn–$13.75bn.
  • Risks: valuation, hyperscaler capex cycle, margins and execution during rapid growth.

2. Modine · MOD

Thermal management and data-centre cooling

Modine is a data-centre cooling and thermal-management beneficiary. Its Climate Solutions segment has been pulled by rapid data-centre growth.

  • Recent evidence: Fiscal Q3 2026 Climate Solutions sales rose 51%, data-centre sales rose 78%, and management expected data-centre revenue to grow more than 70% year-over-year.
  • Risks: working capital, capacity expansion, margin compression and debt.

3. Celestica · CLS

AI infrastructure manufacturing and switching systems

Celestica is a major manufacturing and advanced-technology supplier to data-centre infrastructure customers, with high exposure to AI networking and compute systems.

  • Recent evidence: 2025 revenue was $12.39bn, up 28%, and management raised 2026 outlook to $17bn revenue and $8.75 adjusted EPS.
  • Risks: customer concentration, margin sustainability and hyperscaler spending cycles.

4. Credo Technology · CRDO

High-speed connectivity and data movement

Credo is a data-movement bottleneck name, supplying connectivity solutions for hyperscale AI and cloud networking.

  • Risks: valuation, customer concentration, high growth expectations and competitive cycles.

5. Coherent · COHR

Optical components and photonics

Coherent gives exposure to lasers, photonics and optical networking used in data-centre and communications infrastructure.

  • Risks: debt, cyclicality, optical-demand timing and customer concentration.

Future Scenarios

Bull case: hyperscale AI capex continues, rack power density rises, and power/cooling/networking suppliers see multi-year backlog conversion.

Base case: data-centre buildout remains strong, but winners rotate between power, cooling, optics and manufacturing as bottlenecks shift.

Bear case: cloud capex pauses, AI utilisation disappoints, and extended infrastructure valuations compress.

Signals to Watch

  • Hyperscaler capex guidance
  • Vertiv backlog and orders
  • Modine data-centre sales and margin
  • Celestica AI infrastructure outlook
  • Optical networking demand and 800G/1.6T ramps
  • Grid interconnection and power constraints

Metrics That Matter

  • Backlog and book-to-bill
  • Organic data-centre revenue growth
  • Adjusted operating margin
  • Free cash flow conversion
  • Customer concentration
  • Capacity expansion capex

Risk Map

  • Capex-cycle risk
  • Valuation risk
  • Customer concentration
  • Supply-chain bottlenecks
  • Grid and permitting delays
  • Margin compression during rapid expansion

Convergence

  • Data Centres + AI: physical substrate of AI.
  • Data Centres + Energy: power, grid, storage and nuclear.
  • Data Centres + Water: cooling and site constraints.
  • Data Centres + Computing: photonics and advanced packaging.
  • Data Centres + Materials: copper, semiconductors and thermal materials.

Summary

Data Centres & Digital Infrastructure is one of the most important missing layers in the hub because it turns AI from a software story into a power, cooling and networking buildout. Vertiv is the infrastructure anchor; Modine is the cooling/thermal-management beneficiary; Celestica is the AI infrastructure manufacturing anchor; Credo and Coherent represent the high-speed data movement layer.

Current working conclusion: prioritise power, cooling, networking and manufacturing bottlenecks over generic AI exposure. The theme is strong, but valuation and capex-cycle discipline are essential.