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Market Intelligence — March 2026

Global Data Center &
Vera Rubin Deployment Tracker

Live intelligence on operating mega-sites, planned Vera Rubin NVL72 deployments, and the sovereign & institutional capital powering the AI infrastructure supercycle.

01 — Market Overview
AI Infrastructure Supercycle
The convergence of AI model scaling, sovereign compute mandates, and hyperscaler expansion is driving the largest infrastructure buildout in history.
$690B
2026E AI Capex
5,000+
Data Centers Global
45 GW
DC Power by 2030
$1T+
Infra Investment Need
Demand Drivers
AI Model Scaling — Training compute doubling every 5-6 months. GPT-5 class models require 50,000+ GPU clusters.
Sovereign Compute — 40+ nations launching national AI strategies requiring domestic GPU infrastructure.
Enterprise AI — Inference workloads growing 10x faster than training, driving distributed DC demand.
Data Gravity — Regulatory requirements (EU AI Act, GDPR) forcing data localization in-region.
Supply Constraints
Power — Grid capacity is the #1 bottleneck globally. Average time to secure 100MW+ allocation: 3-5 years.
Land — Permitted, utility-connected sites are scarce. Pre-zoned DC land commands 3-5x premiums.
Cooling — Liquid cooling required for next-gen GPU racks (120kW+/rack). Most existing sites can't retrofit.
Talent — Global shortage of DC engineers and operators, especially in emerging markets.
Sources: Futurum Group (Feb 2026); IoT Analytics (Nov 2025); Goldman Sachs (Dec 2025)
02 — Hyperscaler Capex
The $600B+ Capex Supercycle
Combined hyperscaler capital expenditure is projected to exceed $600B in 2026, with AI infrastructure representing the majority of new spend.
Microsoft
$120B+
Google
$80B
Amazon
$80B
Meta
$60B
Apple
$20B
Oracle / xAI
$30B
Sources: CreditSights (Nov 2025); IEEE ComSoc (Dec 2025); Introl (Jan 2026)
03 — NVIDIA Vera Rubin
Next-Gen GPU Architecture
The Vera Rubin NVL72 platform represents a generational leap in AI compute density, requiring purpose-built facilities with liquid cooling and high-density power delivery.
72 GPUs
Per NVL72 Rack
260 TB/s
Scale-Up Bandwidth
120+ kW
Per Rack Power
$3M+
Per Rack Cost
Key Specs
72 Vera Rubin Ultra GPUs
36 Vera CPUs (ARM-based)
NVLink 6 interconnect
HBM4 memory per GPU
Liquid cooling required
DC Requirements
120+ kW per rack density
Direct liquid cooling (DLC)
High-density power bus
Reinforced floor loading
Advanced fire suppression
Deployment Timeline
CES 2026: Architecture launch
H2 2026: Partner qualification
H1 2027: Volume shipments
H2 2027: Full-scale deployment
2028: Rubin Ultra refresh
Sources: NVIDIA (Jan 2026); NVIDIA Product Page; NVIDIA Dev Blog (Feb 2026)
04 — Global Mega-Sites
Operating & Planned DC Campuses
The largest data center campuses under development or operation globally, ranked by power capacity.
CampusOperatorLocationPowerStatus
Stargate (Abilene)OpenAI / SoftBank / MGXTexas, USA5 GWAnnounced
Project DatavilleMicrosoftWisconsin, USA2 GWPlanned
ColossusxAIMemphis, TN, USA1 GWOperating
Switch CITADELSwitchNevada, USA900 MWOperating
HaminaGoogleFinland600 MWExpanding
Dublin CampusMicrosoftIreland600 MWOperating
Stargard CampusALTi GlobalPoland560 MWPhase 1 Live
Ashburn CampusEquinix / DLRVirginia, USA500+ MWOperating
Johor BahruAirTrunk / YTLMalaysia500 MWPlanned
Jurong / TuasST Telemedia / EquinixSingapore400 MWExpanding
Sources: Data Center Knowledge (Mar 2026); DCD M&A Database; company filings
05 — Operator Landscape
Valuations & Key Metrics
Public and private data center operators ranked by enterprise value, with key financial metrics.
CompanyTypeEVLTM RevEV/RevEV/EBITDA
EquinixColo / Interconnection$70B$9.1B7.7×22.5×
CoreWeaveGPU Cloud / AI$67.3B$5.1B13.2×21.4×
Digital RealtyWholesale / Colo$55B$6.0B9.2×15.7×
QTS (Blackstone)Hyperscale$10B
AirTrunk (Blackstone)APAC HyperscaleA$24B
Aligned DC (MGX/BR/GIP)Hyperscale US$40B
Sources: Public Comps (Jan 2026); Equinix Q4 PR (Feb 2026); DCD (Nov 2025)
06 — ALTi Global Position
CEE Infrastructure Moat
ALTi Global's purpose-built, sovereign-scale GPU data center infrastructure is positioned at the intersection of the three most powerful trends in AI infrastructure.
Power Secured
560 MW
Phase 1 + Phase 2 confirmed power allocation across Poland portfolio. 480 MW ENEA phased at Stargard.
GPU Capacity
147,456
Vera Rubin GPUs across 2,048 NVL72 racks. Purpose-built for next-gen liquid-cooled AI compute.
Revenue at Scale
$4.3B
Projected annual revenue at full deployment. 60%+ EBITDA margins on GPU-as-a-Service model.
Competitive Advantage
Pre-zoned DC land — Stargard is the only site in Poland with data center in the municipal spatial plan
Power moat — 480 MW phased ENEA allocation with 1 GW+ pathway, years ahead of competition
NVIDIA partnership — Delta 41-year partnership, NVIDIA-accredited installer confirmed
EU/NATO location — Full regulatory compliance, data sovereignty, NATO security umbrella
20-site pipeline — 1.7 – 4.6 GW total capacity across 10 voivodeships
Why CEE, Why Now
60% lower energy costs vs. Western Europe (Poland avg. €0.12/kWh vs. Ireland €0.30/kWh)
Available grid capacity — Post-industrial sites with HV connections Western Europe lacks
SEZ incentives — Up to 40% CapEx offset via Polish Investment Zone tax benefits
Data sovereignty demand — EU AI Act and GDPR requiring in-region compute
Northern climate — 7-8.5°C average = extended free cooling, lower PUE