--- title: "EU AI Infrastructure and Compute Capacity Report 2026 | Alice Labs" description: "EU AI infrastructure 2026: 6 AWS / 13 Azure / 11 GCP EU regions, 19 EuroHPC AI Factories, 76 Gigafactory EOIs, FLAP-D 3.6 GW, sovereign cloud GA. 80 sources, 32 indicators." lang: en json-ld: | [ { "@context": "https://schema.org", "@graph": [ { "@type": "Organization", "@id": "https://alicelabs.ai/#organization", "name": "Alice Labs", "alternateName": [ "Alice Labs AB", "AliceLabs" ], "legalName": "Alice Labs AB", "identifier": "559443-5470", "foundingLocation": { "@type": "Place", "name": "Stockholm, Sweden" }, "url": "https://alicelabs.ai", "logo": { "@type": "ImageObject", "@id": "https://alicelabs.ai/#logo", "url": "https://alicelabs.ai/images/alice-logo.png", "contentUrl": "https://alicelabs.ai/images/alice-logo.png", "width": 2000, "height": 2027, "caption": "Alice Labs" }, "image": { "@id": "https://alicelabs.ai/#logo" }, "description": "Alice Labs är en svensk AI-byrå som hjälper företag implementera AI - från strategi till skalning.", "slogan": "From AI strategy to measurable results.", "foundingDate": "2023", "email": "hej@alicelabs.ai", "telephone": "+46734157476", "address": { "@type": "PostalAddress", "streetAddress": "Hammarbybacken 27", "addressLocality": "Stockholm", "postalCode": "120 30", "addressCountry": "SE" }, "contactPoint": [ { "@type": "ContactPoint", "contactType": "customer service", "email": "hej@alicelabs.ai", "telephone": "+46734157476", "areaServed": [ "SE", "EU" ], "availableLanguage": [ "Swedish", "English" ] } ], "areaServed": [ { "@type": "Country", "name": "Sweden" }, { "@type": "Place", "name": "Europe" } ], "knowsAbout": [ "AI strategy", "AI implementation", "AI agents", "AI automation", "Generative AI", "AI governance", "AI training", "Machine learning", "Large language models", "RAG", "AI consulting", "Digital transformation", "AI search optimization", "LLMO", "AI for enterprise" ], "founder": [ { "@id": "https://alicelabs.ai/#linus" }, { "@id": "https://alicelabs.ai/#eric" } ], "sameAs": [ "https://www.linkedin.com/company/alicelabsai", "https://www.trustpilot.com/review/alicelabs.ai", "https://www.wikidata.org/wiki/Q140369570" ] }, { "@type": "Person", "@id": "https://alicelabs.ai/#linus", "name": "Linus Ingemarsson", "givenName": "Linus", "familyName": "Ingemarsson", "jobTitle": "Co-Founder", "description": "Co-founder of Alice Labs. 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Key findings: AWS lists 6 EU regions, Azure 13 (but only 7 for Foundry), Google Cloud 11; FLAP-D reached 3.6 GW live capacity in 2025; EuroHPC operates 14 supercomputers, 19 AI Factories, 10 quantum systems with EUR 7 bn budget; AI Gigafactory consultation drew 76 expressions of interest from 16 member states across 60 sites; Ireland's data centres consumed 22% of metered electricity in 2024.\n\nIncludes a 32-indicator machine-readable scoreboard (CSV/JSON), provider-by-provider region maps, sovereignty-control comparison, EuroHPC access modes, NIS2/DORA/Data Act/AI Act compliance grid, and a 6-action policy and procurement playbook for 2026-2028.", "datePublished": "2026-04-23", "dateModified": "2026-06-26", "version": "1.4", "author": [ { "@type": "Person", "name": "Linus Ingemarsson", "jobTitle": "Co-Founder, Alice Labs", "url": "https://alicelabs.ai/en/linus-ingemarsson", "worksFor": { "@type": "Organization", "name": "Alice Labs", "url": "https://alicelabs.ai" }, "sameAs": [ "https://alicelabs.ai/en/linus-ingemarsson" ] } ], "reviewedBy": [ { "@type": "Person", "name": "Eric Lundberg", "jobTitle": "Co-Founder, Alice Labs", "url": "https://alicelabs.ai/en/eric-lundberg", "worksFor": { "@type": "Organization", "name": "Alice Labs", "url": "https://alicelabs.ai" }, "sameAs": [ "https://alicelabs.ai/en/eric-lundberg" ] } ], "reviewDate": "2026-06-26", "publisher": { "@id": "https://alicelabs.ai/#organization" }, "mainEntityOfPage": "https://alicelabs.ai/reports/eu-ai-infrastructure-compute-capacity-2026", "keywords": "EU AI infrastructure, EU compute capacity, European AI data centers, EuroHPC AI Factories, AI Gigafactories Europe, EU cloud regions 2026, AWS regions Europe, Azure regions EU, Google Cloud Europe regions, GPU availability Europe, H100 availability EU, European sovereign cloud, AWS European Sovereign Cloud, Microsoft sovereign cloud EU, Google Sovereign Cloud Europe, Gaia-X, EU AI Act infrastructure, EU Data Act 2025, NIS2 cloud providers, DORA critical ICT providers, Energy Efficiency Directive data centers, FLAP-D capacity, Frankfurt data center, Amsterdam data center, Dublin data center, Paris data center, Madrid data center, Stockholm data center, EU AI compute bottleneck, EU power-constrained capacity, AI infrastructure policy EU, European Innovation Council compute, EuroHPC Playground access, EuroHPC Fast Lane, MareNostrum 5 AI, LEONARDO AI upgrade, EU enterprise cloud adoption, Eurostat cloud 52.7%, Synergy Research European cloud share, EU hyperscaler concentration, data residency EU, AI Continent Action Plan, AWS Frankfurt P5, Azure Foundry regions, Vertex AI Europe, Cloud Run GPUs Belgium", "inLanguage": "en", "citation": "Ingemarsson, L. (2026, April 23). EU AI Infrastructure and Compute Capacity Report 2026 (Version 1.0). Alice Labs. https://alicelabs.ai/reports/eu-ai-infrastructure-compute-capacity-2026", "hasPart": [ { "@type": "Article", "@id": "https://alicelabs.ai/reports/eu-ai-infrastructure-compute-capacity-2026#definitions", "name": "Six Layers of EU AI Infrastructure", "position": 1, "isPartOf": { "@id": "https://alicelabs.ai/reports/eu-ai-infrastructure-compute-capacity-2026#article" } }, { "@type": "Article", "@id": "https://alicelabs.ai/reports/eu-ai-infrastructure-compute-capacity-2026#scoreboard", "name": "EU AI Infrastructure Scoreboard", "position": 2, "isPartOf": { "@id": "https://alicelabs.ai/reports/eu-ai-infrastructure-compute-capacity-2026#article" } }, { "@type": "Article", "@id": "https://alicelabs.ai/reports/eu-ai-infrastructure-compute-capacity-2026#capacity", "name": "Commercial Capacity: Tight Market Inside Growth", "position": 3, "isPartOf": { "@id": "https://alicelabs.ai/reports/eu-ai-infrastructure-compute-capacity-2026#article" } }, { "@type": "Article", "@id": "https://alicelabs.ai/reports/eu-ai-infrastructure-compute-capacity-2026#cloud", "name": "Hyperscaler Regions: Wide Footprint, Uneven AI Depth", "position": 4, "isPartOf": { "@id": "https://alicelabs.ai/reports/eu-ai-infrastructure-compute-capacity-2026#article" } }, { "@type": "Article", "@id": "https://alicelabs.ai/reports/eu-ai-infrastructure-compute-capacity-2026#country-compute", "name": "Country Compute Snapshots (DE, FR, NL, IE, ES, SE, FI, IT, PL, GR, LU, DK)", "position": 5, "isPartOf": { "@id": "https://alicelabs.ai/reports/eu-ai-infrastructure-compute-capacity-2026#article" } }, { "@type": "Article", "@id": "https://alicelabs.ai/reports/eu-ai-infrastructure-compute-capacity-2026#eurohpc", "name": "EuroHPC, AI Factories & Gigafactories", "position": 6, "isPartOf": { "@id": "https://alicelabs.ai/reports/eu-ai-infrastructure-compute-capacity-2026#article" } }, { "@type": "Article", "@id": "https://alicelabs.ai/reports/eu-ai-infrastructure-compute-capacity-2026#energy", "name": "Energy & Power: The New Binding Constraint", "position": 7, "isPartOf": { "@id": "https://alicelabs.ai/reports/eu-ai-infrastructure-compute-capacity-2026#article" } }, { "@type": "Article", "@id": "https://alicelabs.ai/reports/eu-ai-infrastructure-compute-capacity-2026#sovereignty", "name": "Sovereign Cloud: Operational, Not Dominant", "position": 8, "isPartOf": { "@id": "https://alicelabs.ai/reports/eu-ai-infrastructure-compute-capacity-2026#article" } }, { "@type": "Article", "@id": "https://alicelabs.ai/reports/eu-ai-infrastructure-compute-capacity-2026#regulation", "name": "Legal Stack: AI Act, Data Act, NIS2, DORA, EED", "position": 9, "isPartOf": { "@id": "https://alicelabs.ai/reports/eu-ai-infrastructure-compute-capacity-2026#article" } }, { "@type": "Article", "@id": "https://alicelabs.ai/reports/eu-ai-infrastructure-compute-capacity-2026#citation-assets", "name": "Citation-Ready Evidence and Research Questions", "position": 10, "isPartOf": { "@id": "https://alicelabs.ai/reports/eu-ai-infrastructure-compute-capacity-2026#article" } }, { "@type": "Article", "@id": "https://alicelabs.ai/reports/eu-ai-infrastructure-compute-capacity-2026#recommendations", "name": "Recommendations by Audience", "position": 11, "isPartOf": { "@id": "https://alicelabs.ai/reports/eu-ai-infrastructure-compute-capacity-2026#article" } }, { "@type": "Article", "@id": "https://alicelabs.ai/reports/eu-ai-infrastructure-compute-capacity-2026#june-2026-deep-update", "name": "June 2026 Deep Update — Enterprise AI Adoption, Spend & Governance Context", "position": 12, "isPartOf": { "@id": "https://alicelabs.ai/reports/eu-ai-infrastructure-compute-capacity-2026#article" } }, { "@type": "Article", "@id": "https://alicelabs.ai/reports/eu-ai-infrastructure-compute-capacity-2026#extended-glossary", "name": "Extended Glossary — Enterprise AI Platforms & Frameworks", "position": 13, "isPartOf": { "@id": "https://alicelabs.ai/reports/eu-ai-infrastructure-compute-capacity-2026#article" } }, { "@type": "Article", "@id": "https://alicelabs.ai/reports/eu-ai-infrastructure-compute-capacity-2026#faq", "name": "Frequently Asked Questions", "position": 14, "isPartOf": { "@id": "https://alicelabs.ai/reports/eu-ai-infrastructure-compute-capacity-2026#article" } }, { "@type": "Article", "@id": "https://alicelabs.ai/reports/eu-ai-infrastructure-compute-capacity-2026#extended-faq", "name": "Extended FAQ — Enterprise AI Adoption, Spend & Platforms (June 2026)", "position": 15, "isPartOf": { "@id": "https://alicelabs.ai/reports/eu-ai-infrastructure-compute-capacity-2026#article" } }, { "@type": "Article", "@id": "https://alicelabs.ai/reports/eu-ai-infrastructure-compute-capacity-2026#how-to-cite", "name": "How to Cite This Report", "position": 16, "isPartOf": { "@id": "https://alicelabs.ai/reports/eu-ai-infrastructure-compute-capacity-2026#article" } } ], "about": [ { "@type": "Claim", "name": "EU is compute-uneven, not compute-empty", "description": "Region presence is not compute depth. Multi-region procurement logic needed for AI-ready workloads.", "citation": "AWS, Microsoft Learn, Google Cloud" }, { "@type": "Claim", "name": "FLAP-D doubled live capacity from 1.8 GW (2019) to 3.6 GW (2025)", "description": "Capacity is expanding fast, but FLAP-D includes London. EU-pure read: Frankfurt, Amsterdam, Paris, Dublin remain core nodes.", "citation": "JLL" }, { "@type": "Claim", "name": "European vacancy forecast to compress to 6.5% by end-2026", "description": "Tight-market signature: prices rise, lead times lengthen, AI-ready sites scarce.", "citation": "CBRE" }, { "@type": "Claim", "name": "Azure lists 13 EU public regions but only 7 support Foundry project creation", "description": "Two-layer Azure reality: wide regional fabric, narrower AI-authoring footprint. Procurement must distinguish.", "citation": "Microsoft Learn" }, { "@type": "Claim", "name": "Google H100-class A3 capacity in EU is documented as limited and located in Belgium", "description": "Top-tier accelerator choice clusters in 2 EU countries. Buyers must plan for cross-region failover.", "citation": "Google Cloud" }, { "@type": "Claim", "name": "AWS P5 training accelerators visible in Stockholm and Spain, not Frankfurt", "description": "Even within one provider, frontier training capacity is asymmetric across EU regions.", "citation": "AWS" }, { "@type": "Claim", "name": "EuroHPC operates 14 supercomputers, 19 AI Factories, 10 quantum systems on EUR 7 bn budget", "description": "Public compute is now a strategic correcting layer to commercial concentration — not just a research asset.", "citation": "EuroHPC JU" }, { "@type": "Claim", "name": "AI Gigafactory consultation drew 76 EOIs from 16 member states across 60 sites", "description": "Demand for sovereign-scale AI compute is broad and geographically distributed across the Union.", "citation": "EuroHPC JU" }, { "@type": "Claim", "name": "EuroHPC Playground access reaches SMEs in 2 working days; Fast Lane offers 50,000 GPU-hours", "description": "Friction between public compute and practical AI development is being reduced. Real industrial-access design.", "citation": "EuroHPC JU" }, { "@type": "Claim", "name": "Ireland's data centres consumed 22% of metered electricity in 2024", "description": "Power, not chips alone, is now the binding constraint on EU AI infrastructure expansion.", "citation": "CSO Ireland" }, { "@type": "Claim", "name": "AWS European Sovereign Cloud went GA in Brandenburg in January 2026", "description": "Sovereignty moved from contractual wrapper to physically/operationally separate infrastructure.", "citation": "AWS" }, { "@type": "Claim", "name": "European providers hold 15% local cloud market share; top three hyperscalers hold ~70%", "description": "Sovereignty is operational, but not dominant. Structural hyperscaler dependence persists.", "citation": "Synergy Research Group" }, { "@type": "Claim", "name": "EU enterprise paid cloud adoption reached 52.7% in 2025", "description": "Cloud is now the default enterprise IT substrate. AI infrastructure demand follows directly from cloud adoption baselines.", "citation": "Eurostat" }, { "@type": "Claim", "name": "20% of EU enterprises used AI in 2025, up from 13.5% in 2024", "description": "Inference-side compute demand is rising from a real adoption base, not speculation. Power/region constraints will tighten.", "citation": "Eurostat" }, { "@type": "Claim", "name": "Google Cloud Run deployed L4 GPUs in Belgium (europe-west1) for serverless inference", "description": "Serverless GPU inference is now a concrete EU deployment option for application teams. Lowers ops cost for inference workloads.", "citation": "Google Cloud" }, { "@type": "Claim", "name": "Vertex AI Model Garden and Generative AI features are EU-region-restricted", "description": "Generative AI service availability is narrower than infrastructure region count. AI-platform parity is the next procurement criterion.", "citation": "Google Cloud" }, { "@type": "Claim", "name": "MareNostrum 5 (Spain) and LEONARDO (Italy) procured AI-specific upgrades 2024-2025", "description": "Public HPC is being explicitly reconfigured for AI workloads, not maintained as classical scientific HPC only.", "citation": "EuroHPC JU" }, { "@type": "Claim", "name": "DORA designates critical ICT third-party providers in financial sector since 30 May 2024", "description": "Financial-services AI deployments face sovereign/regulated routing requirements separate from general AI Act compliance.", "citation": "EUR-Lex" }, { "@type": "Claim", "name": "Energy Efficiency Directive mandates DC reporting >500 kW from 2024", "description": "Sustainability metrics are becoming reporting-mandatory. AI infrastructure pricing will price in efficiency — and inefficient sites.", "citation": "European Commission DG Energy" }, { "@type": "Claim", "name": "Cushman & Wakefield primary EMEA markets: London, Frankfurt, Dublin, Paris, Amsterdam, Milan", "description": "Growth frontier is broadening — Nordics, Iberia, and CEE are the structural beneficiaries of FLAP-D power saturation.", "citation": "Cushman & Wakefield" } ] }, { "@type": "Dataset", "@id": "https://alicelabs.ai/reports/eu-ai-infrastructure-compute-capacity-2026#dataset", "name": "EU AI Infrastructure and Compute Capacity Report 2026 - Data Sources", "description": "Data sources and references used in EU AI Infrastructure and Compute Capacity Report 2026", "creator": { "@id": "https://alicelabs.ai/#organization" }, "datePublished": "2026-04-23", "license": "https://creativecommons.org/licenses/by/4.0/", "distribution": [ { "@type": "DataDownload", "name": "Scoreboard CSV", "contentUrl": 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But European providers still hold only 15% market share while top three hyperscalers hold ~70%." } }, { "@type": "Question", "name": "What regulations affect AI infrastructure procurement in the EU?", "acceptedAnswer": { "@type": "Answer", "text": "AI Act (in force 1 Aug 2024; GPAI 2 Aug 2025; high-risk 2 Aug 2026), Data Act (12 Sep 2025 — cloud switching), NIS2 (cloud cybersecurity), DORA (financial concentration risk), and Energy Efficiency Directive (DC reporting >500 kW)." } }, { "@type": "Question", "name": "How many AI Gigafactory expressions of interest did the EU receive?", "acceptedAnswer": { "@type": "Answer", "text": "76 expressions of interest from 16 member states across 60 candidate sites, submitted in the 2025 EuroHPC consultation. Demand for sovereign-scale AI compute is broad and geographically distributed." } }, { "@type": "Question", "name": "What changes for EU AI infrastructure on 2 August 2026?", "acceptedAnswer": { "@type": "Answer", "text": "The EU AI Act's obligations for high-risk AI systems begin to apply on 2 August 2026 (Regulation 2024/1689). High-risk systems require conformity assessment, technical documentation, logging, human oversight, and post-market monitoring — and the cloud or on-prem region they run in must support the data-governance and logging guarantees the assessment depends on. Q3 2026 procurement for regulated-sector deployments should encode AI Act pathways into region and provider choice, not retrofit them later." } }, { "@type": "Question", "name": "How does Europe's AI compute capacity compare to the US and China in 2026?", "acceptedAnswer": { "@type": "Answer", "text": "Stanford HAI's AI Index 2025 reports the US produced 40 notable AI models in 2024, China 15, and Europe 3 — a structural model-production gap commercial cloud expansion alone has not closed. Private AI investment also diverges: US $109.1 bn, UK $4.5 bn, Germany $1.9 bn. EuroHPC's 19 AI Factories and the 76-EOI AI Gigafactory consultation are the EU's direct policy response." } }, { "@type": "Question", "name": "What percentage of enterprises use AI in production in 2025?", "acceptedAnswer": { "@type": "Answer", "text": "McKinsey's State of AI 2025 reports 78% of organisations used AI in at least one business function in 2024, up from 55% the year before. The IBM Global AI Adoption Index 2024 found 42% of enterprise-scale companies had actively deployed AI, with another 40% exploring it. In the EU specifically, Eurostat measured 20% of enterprises (10+ employees) using AI in 2025, up from 13.5% in 2024." } }, { "@type": "Question", "name": "What is the average enterprise AI budget in 2026?", "acceptedAnswer": { "@type": "Answer", "text": "KPMG's Q1 2026 AI Quarterly Pulse Survey reported average enterprise AI spend of approximately USD 207 million among surveyed companies, with budgets continuing to expand through the year. Generative AI is the fastest-growing IT-budget line item across BCG, Deloitte, PwC, Gartner, IDC, and KPMG surveys." } }, { "@type": "Question", "name": "What is BCG's 10/20/70 rule for AI investment?", "acceptedAnswer": { "@type": "Answer", "text": "BCG's 10/20/70 rule states that successful AI programmes spend 10% on algorithms, 20% on technology and data, and 70% on people and processes — including workflow redesign, change management, and capability building. Infrastructure choices are necessary but not where most of the value-capture work happens." } }, { "@type": "Question", "name": "What ROI are enterprises reporting from generative AI in 2025-2026?", "acceptedAnswer": { "@type": "Answer", "text": "Google Cloud's 2025 ROI of AI study found 74% of executives reported tangible ROI within 12 months of deploying generative AI. BCG's AI Radar 2026 highlights similar patterns of accelerated value capture among AI leaders." } }, { "@type": "Question", "name": "Which enterprise AI platforms are most relevant for EU buyers in 2026?", "acceptedAnswer": { "@type": "Answer", "text": "The platforms most frequently benchmarked by EU procurement teams in 2026 include Amazon Bedrock, Microsoft Azure AI Foundry, Google Vertex AI, Anthropic Claude for Enterprise, OpenAI ChatGPT Enterprise, Databricks Mosaic AI, Snowflake Cortex AI, IBM watsonx, Salesforce Agentforce, ServiceNow AI Agent Orchestrator, SAP Joule, Oracle AI Agent Studio, and Palantir AIP." } }, { "@type": "Question", "name": "What enterprise AI security and governance frameworks should EU buyers reference?", "acceptedAnswer": { "@type": "Answer", "text": "NIST AI Risk Management Framework (AI RMF 1.0, 2023), NIST Generative AI Profile (NIST AI 600-1, July 2024), ISO/IEC 42001 (AI management system standard), OWASP Top 10 for LLM Applications (2025), CSA Cloud Controls Matrix, SOC 2 Type II, ISO/IEC 27001, SAML 2.0, and SCIM (RFC 7644)." } }, { "@type": "Question", "name": "What is ISO/IEC 42001?", "acceptedAnswer": { "@type": "Answer", "text": "ISO/IEC 42001 is the first international AI management system standard, published by ISO/IEC in 2023. It is certifiable and increasingly referenced in EU public-sector tenders and regulated-industry RFPs as evidence that a vendor has internal governance proportionate to the AI Act's general expectations." } }, { "@type": "Question", "name": "What is the NIST Generative AI Profile?", "acceptedAnswer": { "@type": "Answer", "text": "The NIST Generative AI Profile (NIST AI 600-1) was published in July 2024 as a companion to the AI Risk Management Framework. It applies the AI RMF's govern/map/measure/manage functions to generative AI with risk-specific guidance for foundation-model use, prompt injection, hallucination, data leakage, and supply-chain risk." } }, { "@type": "Question", "name": "What is OWASP Top 10 for LLM Applications 2025?", "acceptedAnswer": { "@type": "Answer", "text": "OWASP Top 10 for LLM Applications 2025 is the current OWASP list of top security risks for applications using large language models. It covers prompt injection, sensitive information disclosure, supply-chain vulnerabilities, data and model poisoning, improper output handling, excessive agency, system prompt leakage, vector and embedding weaknesses, misinformation, and unbounded consumption." } } ] }, { "@type": "BreadcrumbList", "itemListElement": [ { "@type": "ListItem", "position": 1, "name": "Home", "item": "https://alicelabs.ai/" }, { "@type": "ListItem", "position": 2, "name": "Reports", "item": "https://alicelabs.ai/reports" }, { "@type": "ListItem", "position": 3, "name": "EU AI Infrastructure and Compute Capacity Report 2026", "item": "https://alicelabs.ai/reports/eu-ai-infrastructure-compute-capacity-2026" } ] } ] } ] --- [Alice Labs](/en/) Services [ What we do ](/#welcome)[ About Alice ](/#who-we-are)[ Case ](/en/case)[ Insights ](/en/insights)[ Contact ](/#email-form) 1. [Home](/) 2. [Reports](/reports) 3. EU AI Infrastructure and Compute Capacity Report 2026 Research Report Published April 2026 Updated June 26, 2026 v1.4 # EU AI Infrastructure and Compute Capacity Report 2026 Where European data centers, cloud regions, GPUs, EuroHPC AI Factories, and sovereign-cloud capacity actually stand in 2026 — for policymakers, infrastructure providers, and enterprise buyers Authors: [Linus Ingemarsson](https://alicelabs.ai/en/linus-ingemarsson)(Co-Founder, Alice Labs) [How to Cite](#cite) 19 EuroHPC AI Factories 14 supercomputers, 10 quantum 3.6 GW FLAP-D live capacity 2025 Up from 1.8 GW in 2019 30 Hyperscaler EU regions AWS 6 / Azure 13 / GCP 11 22% Ireland DC electricity share Power is the new bottleneck ## Contents - [At a Glance](#at-a-glance) - [Executive Summary](#executive-summary) - [Key Findings (20)](#key-findings) - [Six Layers of EU AI Infrastructure](#definitions) - [EU AI Infrastructure Scoreboard](#scoreboard) - [Commercial Capacity: Tight Market Inside Growth](#capacity) - [Hyperscaler Regions: Wide Footprint, Uneven AI Depth](#cloud) - [Country Compute Snapshots (DE, FR, NL, IE, ES, SE, FI, IT, PL, GR, LU, DK)](#country-compute) - [EuroHPC, AI Factories & Gigafactories](#eurohpc) - [Energy & Power: The New Binding Constraint](#energy) - [Sovereign Cloud: Operational, Not Dominant](#sovereignty) - [Legal Stack: AI Act, Data Act, NIS2, DORA, EED](#regulation) - [Citation-Ready Evidence and Research Questions](#citation-assets) - [Recommendations by Audience](#recommendations) - [June 2026 Deep Update — Enterprise AI Adoption, Spend & Governance Context](#june-2026-deep-update) - [Extended Glossary — Enterprise AI Platforms & Frameworks](#extended-glossary) - [Frequently Asked Questions](#faq) - [Extended FAQ — Enterprise AI Adoption, Spend & Platforms (June 2026)](#extended-faq) - [How to Cite This Report](#how-to-cite) - [Methodology](#methodology) - [Cite](#cite) ![Linus Ingemarsson - Author at Alice Labs](/images/linus-ingemarsson.png) Written by [Linus Ingemarsson ](/en/linus-ingemarsson) ![Eric Lundberg - Reviewer at Alice Labs](/images/eric-lundberg.png) Reviewed by [Eric Lundberg ](/en/eric-lundberg) Published April 23, 2026 · Updated June 26, 2026 Methodology & Transparency: This analysis draws on primary sources — including Eurostat, OECD, national statistical agencies, peer-reviewed literature, and official vendor disclosures — combined with Alice Labs implementation data. AI tooling assists synthesis; every claim is human-reviewed against the cited source. **All figures and claims link to their public source for verification.** Reviewed by the named author and reviewer above. Methodology, source list, and revision history are available below. ## Cite This Report APABIBTEXMLA Ingemarsson, L. (2026, April 23). EU AI Infrastructure and Compute Capacity Report 2026 (Version 1.0). Alice Labs. https://alicelabs.ai/reports/eu-ai-infrastructure-compute-capacity-2026 Copy citationVersion 1.4 • Published April 23, 2026 Quick Answer Cited by AI What is the state of EU AI infrastructure and compute capacity in 2026? > The EU is no longer compute-empty; it is compute-uneven. Hyperscalers list 30 EU regions (AWS 6, Azure 13, GCP 11), EuroHPC operates 19 AI Factories, and FLAP-D reached 3.6 GW — but power and high-end GPU access remain bottlenecks. AT A GLANCE Updated 2026-04-23 Europe's AI compute stack in 2026 is defined by **scarcity inside growth**: FLAP-D colocation reached **3.6 GW** live capacity (up from 1.8 GW in 2019), CBRE forecasts vacancy compressing to **6.5%** by end-2026, and EuroHPC now runs **14 supercomputers**, **19 AI Factories**, **10 quantum systems** on a EUR 7 bn budget. Yet hyperscaler depth is uneven — Azure lists 13 EU regions but only **7** support Microsoft Foundry, and Google's H100-class A3 capacity is documented in just **Belgium** and the **Netherlands**. European cloud providers hold only **15%** of the local market; the top three hyperscalers hold **~70%**. Q2 2026 UPDATE Last reviewed: 26 June 2026 **Q2 2026 directional read.** The headline picture from the April release holds: **scarcity inside growth**, with power and AI-platform parity as the binding constraints — not raw region count. Three developments matter for buyers planning H2 2026 procurement. (1) The **AI Act's high-risk obligations** apply from **2 August 2026**, less than six weeks after this review window — infrastructure procurement decisions made in Q3 must already encode conformity-assessment pathways, especially for regulated-sector deployments routed through Frankfurt, Dublin, or Paris. [European Commission — AI Act timeline](https://digital-strategy.ec.europa.eu/en/policies/ai-act). (2) **Stanford HAI's AI Index 2025** reaffirms the structural compute gap: the US led with **40** notable AI models produced in 2024 versus China's **15** and Europe's **3** — and private AI investment in the US ($109.1 bn) was roughly **12×** the UK's ($4.5 bn) and **24×** Germany's ($1.9 bn). The EuroHPC AI Factory build-out is necessary precisely because commercial capacity alone has not closed the model-production gap. [Stanford HAI AI Index 2025](https://hai.stanford.edu/ai-index/2025-ai-index-report). (3) Eurostat's most recent ICT enterprise survey continues to show **20%** EU enterprise AI adoption (2025) on a **52.7%** paid-cloud baseline — inference-side compute demand is still rising on a real adoption base, not speculation. [Eurostat — EU enterprise AI 2025](https://ec.europa.eu/eurostat/web/products-eurostat-news/w/ddn-20251211-2). This is a freshness review, not a re-publication. Underlying indicators, the 32-indicator scoreboard (v1.0), and the FLAP-D / EuroHPC / hyperscaler region counts have not been re-collected since the April 2026 release. Next scheduled review: **September 2026**, ahead of the AI Act high-risk applicability deadline. Key Takeaway The **EU AI Infrastructure and Compute Capacity Report 2026** (published **2026-04-23**, last reviewed **2026-06-26**) maps the European AI compute stack across six interacting layers — colocation capacity, hyperscaler regions, GPU and AI-platform depth, EuroHPC public compute, sovereign-cloud controls, and energy plus regulation. It is built on **80 verified public sources** and 32 reproducible indicators, with provider-by-provider region maps and access-mode comparisons. Five structural findings: (1) **Capacity is expanding but tight** — FLAP-D doubled since 2019, vacancy is forecast at 6.5% by end-2026, and Ireland's data centres now consume 22% of metered electricity. (2) **Cloud regions exist but AI-depth is uneven** — AWS P5-class accelerators are visible in Stockholm and Spain but not Frankfurt; Google H100 is limited to Belgium; Azure Foundry covers only 7 of 13 EU regions. (3) **EuroHPC is becoming an industrial-access channel** — Playground (2 working days) and Fast Lane (50,000 GPU-hours, 4-day approval) target SMEs and startups. (4) **Sovereignty is operational, not dominant** — AWS European Sovereign Cloud went GA in Brandenburg January 2026, Microsoft expanded controls February 2026, but European providers remain at 15% market share. (5) **Demand is rising faster than friction is disappearing** — Eurostat shows 52.7% enterprise cloud adoption and 20% enterprise AI use in 2025. Limitations: Cloud-region counts are not harmonised across providers. GPU documentation reflects catalogued support, not real-time stock. Several capacity figures (CBRE, JLL) are scenario-quality forecasts. AI-assisted desk research, reviewed by humans, not peer-reviewed. ## Executive Summary **EU AI infrastructure in 2026 is best understood as six interacting layers**: commercial colocation capacity, hyperscaler region footprint, accelerator and AI-platform depth, EuroHPC public compute, sovereign-cloud controls, and energy plus regulation. On current evidence, the EU is not compute-empty; it is **compute-uneven**. Capacity is expanding, public compute is becoming a strategic correcting layer, and sovereignty policy is moving from concept to operation — but the most valuable parts of the stack remain scarce and regionally concentrated. The clearest market signal is **scarcity inside growth**. JLL estimates FLAP-D (Frankfurt, London, Amsterdam, Paris, Dublin) grew from **1.8 GW in 2019 to 3.6 GW in 2025**. CBRE projected **871 MW** of European new supply for 2025, with vacancy compressing from **7.8%** at end-2025 to **6.5%** by end-2026 — a tight market signature, not an underused one. Ireland's December 2025 conditional reopening of grid connections (with on-site generation requirements) confirms that compute expansion is now a **power-system planning** problem. Hyperscaler depth is the second structural constraint. AWS documents **6** EU regions, Azure **13**, Google Cloud **11**. But region presence is not compute depth: Azure lists only **7** EU regions for Microsoft Foundry project creation; Google's H100-class A3 capacity is documented as limited in **Belgium (europe-west1)**; AWS P5-class training accelerators are visible in **Stockholm** and **Spain** but not in the cited Frankfurt excerpts. Region count overstates AI-ready depth. Public compute is becoming the EU's most direct policy lever. **EuroHPC** now operates **14 supercomputers, 19 AI Factories, 10 quantum systems**, with **38 participating states** and a **EUR 7 bn** 2021-2027 budget. Critically, access design now explicitly targets industry: the **Playground** route reaches SMEs and startups within **2 working days**, and **Fast Lane** offers up to **50,000 GPU hours** with 4-day approval. The **AI Gigafactory** consultation drew **76 expressions of interest** across **16 member states** and **60 sites** — broad, geographically distributed demand for sovereign-scale AI compute. Sovereignty is shifting from debate to implementation. **AWS European Sovereign Cloud** went GA in Brandenburg in **January 2026**, with EU-only operations, German legal entities, and a **EUR 7.8 bn** investment commitment plus sovereign local zones planned for Belgium, Netherlands, and Portugal. Microsoft expanded sovereign-cloud capabilities in **February 2026** and opened Denmark East and Austria East. Google maintains **Data Boundary, S3NS, and Air-Gapped** as a sovereignty portfolio. Yet the structural fact remains: **European providers hold only 15%** local market share while the top three hyperscalers hold **~70%** (Synergy Research). Sovereignty options are increasing, but mostly inside or adjacent to existing hyperscaler ecosystems. The legal stack tightens fast: the **AI Act** entered into force **1 August 2024**, GPAI obligations applied **2 August 2025**, the **Data Act** applied **12 September 2025**, and **NIS2** + **DORA** add cybersecurity and concentration-risk obligations on cloud and data-centre providers. The **Energy Efficiency Directive** mandates reporting for data centres above 500 kW. AI infrastructure procurement is no longer a pure technology decision; it is also a regulatory and energy-grid decision. **Related Alice Labs research:** [EU AI Investment & Startup Landscape 2026](/reports/eu-ai-investment-startup-landscape-2026), [EU AI Act Implementation Tracker 2026](/reports/eu-ai-act-implementation-tracker-2026), [Global AI Adoption Index 2026](/reports/global-ai-adoption-index-2026), [Global AI Productivity Impact 2026](/reports/global-ai-productivity-impact-report-2026). For enterprises planning AI infrastructure investments aligned with these capacity benchmarks, Alice Labs operates as an [AI implementation consultant](/en/ai-consulting) for European enterprises and provides [AI strategy consulting](/en/ai-strategy) for boards making compute and sovereignty-tier decisions. ## Key Findings 20 data-driven insights ### 01 EU is compute-uneven, not compute-empty 30 hyperscaler EU regions (6 AWS / 13 Azure / 11 GCP) but advanced AI depth concentrated Region presence is not compute depth. Multi-region procurement logic needed for AI-ready workloads. Source: [AWS, Microsoft Learn, Google Cloud](https://docs.aws.amazon.com/ec2/latest/instancetypes/ec2-instance-regions.html) ### 02 FLAP-D doubled live capacity from 1.8 GW (2019) to 3.6 GW (2025) Frankfurt, London, Amsterdam, Paris, Dublin — includes non-EU London Capacity is expanding fast, but FLAP-D includes London. EU-pure read: Frankfurt, Amsterdam, Paris, Dublin remain core nodes. Source: [JLL](https://www.jll.com/en-uk/insights/emea-data-centre-report) ### 03 European vacancy forecast to compress to 6.5% by end-2026 871 MW new supply 2025; vacancy 7.8% end-2025 → 6.5% end-2026 Tight-market signature: prices rise, lead times lengthen, AI-ready sites scarce. Source: [CBRE](https://www.cbre.com/insights/books/european-real-estate-market-outlook-2026/data-centres) ### 04 Azure lists 13 EU public regions but only 7 support Foundry project creation Foundry regions: France Central, Germany West Central, Italy North, North Europe, Spain Central, Sweden Central, West Europe Two-layer Azure reality: wide regional fabric, narrower AI-authoring footprint. Procurement must distinguish. Source: [Microsoft Learn](https://learn.microsoft.com/en-us/azure/foundry/reference/region-support) ### 05 Google H100-class A3 capacity in EU is documented as limited and located in Belgium europe-west1 (St. Ghislain) marked limited capacity; Netherlands carries A2/A3/A4 spread Top-tier accelerator choice clusters in 2 EU countries. Buyers must plan for cross-region failover. Source: [Google Cloud](https://docs.cloud.google.com/compute/docs/regions-zones/gpu-regions-zones) ### 06 AWS P5 training accelerators visible in Stockholm and Spain, not Frankfurt Stockholm: P5/P5e/P5en; Spain: P5en; Frankfurt: P4d/P4de only Even within one provider, frontier training capacity is asymmetric across EU regions. Source: [AWS](https://docs.aws.amazon.com/ec2/latest/instancetypes/ec2-instance-regions.html) ### 07 EuroHPC operates 14 supercomputers, 19 AI Factories, 10 quantum systems on EUR 7 bn budget 38 participating states; AI Factories now industrial-access channel Public compute is now a strategic correcting layer to commercial concentration — not just a research asset. Source: [EuroHPC JU](https://www.eurohpc-ju.europa.eu/) ### 08 AI Gigafactory consultation drew 76 EOIs from 16 member states across 60 sites Trillion-parameter facility consultation, April 2025 Demand for sovereign-scale AI compute is broad and geographically distributed across the Union. Source: [EuroHPC JU](https://www.eurohpc-ju.europa.eu/ai-gigafactories/ai-gigafactories-consultations_en) ### 09 EuroHPC Playground access reaches SMEs in 2 working days; Fast Lane offers 50,000 GPU-hours Playground (SME/startup), Fast Lane (4-day approval, 3-month allocation) Friction between public compute and practical AI development is being reduced. Real industrial-access design. Source: [EuroHPC JU](https://www.eurohpc-ju.europa.eu/) ### 10 Ireland's data centres consumed 22% of metered electricity in 2024 Highest national share in the EU; grid-connection moratorium lifted with on-site generation conditions Power, not chips alone, is now the binding constraint on EU AI infrastructure expansion. Source: [CSO Ireland](https://www.cso.ie/en/releasesandpublications/ep/p-dcmec/datacentresmeteredelectricityconsumption2024/keyfindings/) ### 11 AWS European Sovereign Cloud went GA in Brandenburg in January 2026 EU-only operations, German legal entities, EUR 7.8 bn investment, Belgium/NL/PT local zones planned Sovereignty moved from contractual wrapper to physically/operationally separate infrastructure. Source: [AWS](https://aws.amazon.com/blogs/security/the-aws-european-sovereign-cloud-is-now-available/) ### 12 European providers hold 15% local cloud market share; top three hyperscalers hold ~70% Synergy Research Group market estimate Sovereignty is operational, but not dominant. Structural hyperscaler dependence persists. Source: [Synergy Research Group](https://www.srgresearch.com/articles/european-cloud-providers-local-market-share-now-holds-steady-at-15) ### 13 EU enterprise paid cloud adoption reached 52.7% in 2025 Eurostat ICT survey — enterprises with 10+ employees Cloud is now the default enterprise IT substrate. AI infrastructure demand follows directly from cloud adoption baselines. Source: [Eurostat](https://ec.europa.eu/eurostat/web/products-eurostat-news/w/ddn-20260203-1) ### 14 20% of EU enterprises used AI in 2025, up from 13.5% in 2024 Eurostat ICT survey — fastest YoY jump on record Inference-side compute demand is rising from a real adoption base, not speculation. Power/region constraints will tighten. Source: [Eurostat](https://ec.europa.eu/eurostat/web/products-eurostat-news/w/ddn-20251211-2) ### 15 Google Cloud Run deployed L4 GPUs in Belgium (europe-west1) for serverless inference Cloud Run GPU GA: ~5s cold start for Gemma 3 4B model Serverless GPU inference is now a concrete EU deployment option for application teams. Lowers ops cost for inference workloads. Source: [Google Cloud](https://cloud.google.com/blog/products/serverless/cloud-run-gpus-now-ga) ### 16 Vertex AI Model Garden and Generative AI features are EU-region-restricted Available in europe-west1, europe-west4, europe-west9 (and selected others); not all 11 GCP EU regions Generative AI service availability is narrower than infrastructure region count. AI-platform parity is the next procurement criterion. Source: [Google Cloud](https://cloud.google.com/vertex-ai/docs/general/locations) ### 17 MareNostrum 5 (Spain) and LEONARDO (Italy) procured AI-specific upgrades 2024-2025 Public AI procurement calls confirm institutional shift to AI-optimised public compute Public HPC is being explicitly reconfigured for AI workloads, not maintained as classical scientific HPC only. Source: [EuroHPC JU](https://www.eurohpc-ju.europa.eu/) ### 18 DORA designates critical ICT third-party providers in financial sector since 30 May 2024 Cloud and DC providers face concentration-risk oversight; designation list operative Financial-services AI deployments face sovereign/regulated routing requirements separate from general AI Act compliance. Source: [EUR-Lex](https://eur-lex.europa.eu/eli/reg_del/2024/1502/oj) ### 19 Energy Efficiency Directive mandates DC reporting >500 kW from 2024 Common EU-wide sustainability rating scheme in development by EC DG Energy Sustainability metrics are becoming reporting-mandatory. AI infrastructure pricing will price in efficiency — and inefficient sites. Source: [European Commission DG Energy](https://energy.ec.europa.eu/topics/energy-efficiency/energy-efficient-products/energy-performance-data-centres_en) ### 20 Cushman & Wakefield primary EMEA markets: London, Frankfurt, Dublin, Paris, Amsterdam, Milan Madrid, Helsinki, Berlin, Stockholm, Warsaw, Copenhagen now classified secondary or spotlight Growth frontier is broadening — Nordics, Iberia, and CEE are the structural beneficiaries of FLAP-D power saturation. Source: [Cushman & Wakefield](https://www.cushmanwakefield.com/en/insights/emea-data-centre-update) ### Need Help Implementing These Findings? Alice Labs helps enterprises turn AI research into measurable business outcomes — from strategy to full-scale implementation. [Explore AI Consulting](/en/ai-consulting)[See AI Strategy Services](/en/ai-strategy) ## Six Layers of EU AI Infrastructure **EU AI infrastructure** is the combined physical, cloud, accelerator, networking, and governance layers required to develop and run AI workloads inside the Union. It spans **six layers**: commercial colocation, hyperscaler regions, GPU and AI-platform depth, EuroHPC public compute, sovereign-cloud controls, and energy plus regulation. Term Definition (canonical) AI Factory EuroHPC ecosystem built around AI-optimised supercomputers offering compute and support services for industry and science. AI Gigafactory Large-scale facility for training next-generation AI models with trillions of parameters. Cloud region Provider-defined geographic location where cloud resources are deployed; not perfectly comparable across providers. Availability Zone One or more discrete data-centre locations within a region, designed for fault isolation. Sovereign cloud Cloud operating model designed to meet data residency, operational control, and jurisdiction-sensitive access requirements. FLAP-D Frankfurt, London, Amsterdam, Paris, Dublin — five largest European colocation markets. GPAI model General-Purpose AI model under the EU AI Act. Data residency Requirement or assurance that data is stored (and sometimes processed) in a specified geographic area. Digital sovereignty Policy and architectural objective focused on control, resilience, jurisdictional clarity, and interoperability. ## EU AI Infrastructure Scoreboard The scoreboard compiles **32 indicators** across colocation capacity, hyperscaler regions, GPU and AI-platform depth, EuroHPC public compute, sovereignty offerings, energy, and regulation. Confidence: High for Eurostat, EuroHPC, EUR-Lex and provider documentation; Medium for CBRE/JLL forecasts and Synergy market estimates. [Download CSV (32 indicators)](/data/eu-ai-infrastructure-scoreboard.csv)[Download JSON](/data/eu-ai-infrastructure-scoreboard.json) 19 EuroHPC AI Factories 3.6 GW FLAP-D live capacity 30 Hyperscaler EU regions 22% Ireland DC electricity Interpretation The scoreboard is **conservative**: cloud-region counts use heterogeneous provider definitions; GPU documentation reflects catalogued support, not real-time stock; CBRE/JLL figures are forecasts. EuroHPC headline figures are official 2026 facts. AI Gigafactory EOIs (76) are consultation responses, not committed sites. ## Commercial Capacity: Tight Market Inside Growth JLL estimates FLAP-D grew from **1.8 GW (2019) to 3.6 GW (2025)**. CBRE projected **871 MW** of European new supply in 2025 — 34% above the prior year — but expected take-up to outpace supply, with vacancy compressing from **7.8%** at end-2025 to **6.5%** by end-2026. That combination — high expansion with low vacancy — is the signature of a tight market, not an underused one. ### FLAP-D Live Colocation Capacity (GW, 2019-2025) Frankfurt, London, Amsterdam, Paris, Dublin — combined live capacity. Note: includes non-EU London. EU-pure read excludes London but the trend is directionally identical for EU nodes. Source: JLL EMEA Data Centre Report 2025. Intermediate years interpolated for visual continuity; endpoints are JLL-reported. Cushman & Wakefield still classifies **London, Frankfurt, Dublin, Paris, Amsterdam, Milan** as primary EMEA markets; Madrid, Helsinki, Berlin, Stockholm, Warsaw, Copenhagen, Brussels, Vienna, Zaragoza fall in secondary or spotlight roles. The EU-pure read: **Frankfurt, Amsterdam, Paris, Dublin, Milan** remain core nodes, but the growth frontier is broader — Madrid, Warsaw, the Nordics, and parts of Southern Europe are benefiting from the search for power, land, or both. Ireland's December 2025 conditional grid-connection reopening — requiring on-site generation or batteries capable of full demand — is the clearest signal that **compute expansion is now a power-system planning problem**, not just a real-estate problem. ## Hyperscaler Regions: Wide Footprint, Uneven AI Depth The public-cloud footprint across EU member states is meaningful: AWS documents **6** EU regions, Azure **13**, Google Cloud **11**. On a simple map, the EU is no longer underserved. On a compute-depth basis, the picture is far less even. ### Hyperscaler EU Regions: Total vs AI-platform-ready (2026) Region presence is not compute depth. Azure lists 13 EU regions but only 7 support Microsoft Foundry project creation. AWS and Google count assumes parity (both expose AI services in all listed EU regions, with documented limitations). - Public regions - AI-platform-ready Sources: AWS EC2 docs; Microsoft Learn (regions + Foundry support); Google Cloud locations. Accessed 2026-04-23. ### GPU Accelerator Availability by EU Region (2026) Frontier-training accelerators (H100, P5-class) are present in only a subset of EU regions even within the same provider. AWS Frankfurt — the largest EU AWS region — does not list P5-class instances in cited excerpts; Stockholm and Spain do. Google's H100-class A3 spread is concentrated in Belgium and the Netherlands. - H100 / P5-class - A100 / P4-class - L4 / inference - Frontier-ready Source: AWS EC2 instance-types-by-region; Google Cloud GPU regions and zones; Microsoft Learn Azure region-list. Binary scoring (1 = documented support). Accessed 2026-04-23. **AWS asymmetry:** Stockholm exposes one of the strongest menus (P5/P5e/P5en); Spain lists P5en; Frankfurt lists P4d/P4de but not P5 in cited excerpts; Milan shows a much lighter accelerator profile (G4dn/Inf1 only). Within one provider, advanced training-class infrastructure is not uniformly present across EU regions. **Azure asymmetry:** Microsoft's region list is broad, but Foundry project creation is documented in only **France Central, Germany West Central, Italy North, North Europe, Spain Central, Sweden Central, West Europe**. Microsoft explicitly warns that feature and model support varies by region and that quotas are regional. Azure operates a two-layer reality: wide infrastructure fabric, narrower AI-authoring footprint. **Google asymmetry:** EU regions span Belgium, Netherlands, Germany, France, Finland, Poland, Spain, Italy, Sweden. But the GPU-locations page shows **Belgium** and especially the **Netherlands** carrying the richest accelerator mixes. **St. Ghislain (europe-west1)** is documented with limited-capacity H100-class A3 availability. Google has also brought **Cloud Run GPUs (L4)** to GA in Belgium, enabling serverless inference with ~5-second cold starts for models like Gemma 3 4B. Top-tier accelerator choice still clusters in a small number of EU markets. EU region (provider) Frontier training Inference / serving AI platform parity Stockholm (AWS eu-north-1) P5/P5e/P5en (H100-class) Strong Bedrock available Spain (AWS eu-south-2) P5en Strong Bedrock available Frankfurt (AWS eu-central-1) P4d/P4de only (cited excerpts) Strong Bedrock available Milan (AWS eu-south-1) G4dn/Inf1 only Inference-tier Limited Belgium (GCP europe-west1) H100 A3 (limited capacity) L4 Cloud Run GA Vertex AI Model Garden Netherlands (GCP europe-west4) A2/A3/A4 spread Strong Vertex AI Model Garden Sweden Central (Azure) ND H100 v5 series Strong Foundry available France Central (Azure) ND H100 v5 series Strong Foundry available Germany West Central (Azure) Documented Strong Foundry available Spain Central (Azure) Documented Strong Foundry available ## Country Compute Snapshots (DE, FR, NL, IE, ES, SE, FI, IT, PL, GR, LU, DK) Provider footprints aggregate poorly to country-level capacity. The EU's actual compute geography is the intersection of **hyperscaler regions, AI Factory hosts, FLAP-D / secondary colocation depth, and energy availability**. Below is a compact country snapshot for the most strategically relevant member states. Country Hyperscaler footprint EuroHPC / AI Factory Strategic role 2026 Germany 🇩🇪 AWS Frankfurt + Sovereign Cloud (Brandenburg); Azure Germany West Central; GCP Frankfurt JUPITER (Jülich) — exascale; AI Factory host Sovereign-cloud anchor; financial sector + industry France 🇫🇷 AWS Paris; Azure France Central + Foundry; GCP Paris Jean Zay AI extension; AI Factory host Largest visible startup base; Foundry parity region Netherlands 🇳🇱 AWS Amsterdam (legacy); Azure West Europe; GCP europe-west4 (rich GPU mix) Snellius; partner in EuroHPC AI talent density; GCP H100/A100 cluster Ireland 🇮🇪 AWS Dublin; Azure North Europe; GCP Dublin No EuroHPC site Hyperscaler concentration; power-constrained — 22% national electricity Spain 🇪🇸 AWS Spain (P5en); Azure Spain Central + Foundry; GCP Madrid MareNostrum 5 + AI upgrade; AI Factory host (BSC) Growth frontier — power, land, sun; rising AI region Sweden 🇸🇪 AWS Stockholm (P5/P5e/P5en); Azure Sweden Central + Foundry Arrhenius / LUMI partner; AI Factory host Northern-hub AI training capacity; clean baseload Finland 🇫🇮 Azure Helsinki announced; GCP Finland LUMI (Kajaani) + AI upgrade; AI Factory host Public AI compute leader; renewable cooling Italy 🇮🇹 AWS Milan (light); Azure Italy North + Foundry; GCP Milan, Turin LEONARDO (Bologna) + AI upgrade; AI Factory host Southern-Europe public AI compute hub Poland 🇵🇱 AWS Warsaw; Azure Poland Central; GCP Warsaw Selected for additional AI Factory (Oct 2025) CEE compute frontier; data residency demand Greece 🇬🇷 Azure Greece Central announced Daedalus AI Factory (host) Southeastern access node for AI Factory network Luxembourg 🇱🇺 Azure West Europe (proximate) MeluXina + AI upgrade; AI Factory host Regulated-sector and EU-institutional compute Denmark 🇩🇰 Azure Denmark East (new region); GCP Copenhagen Partner in EuroHPC Highest enterprise AI adoption (42%); new sovereign region **Pattern:** Power and AI Factory presence — not legacy IT scale — increasingly determine which member states attract AI-ready capacity in 2026. The Nordics, Iberia, and selected CEE countries are the structural beneficiaries of FLAP-D power saturation. ## EuroHPC, AI Factories & Gigafactories EuroHPC is the EU's most direct answer to commercial compute concentration. 2026 headline figures: **14 supercomputers, 19 AI Factories, 10 quantum computers, 58 R&I projects, 38 participating states, EUR 7 bn** 2021-2027 budget. ### EuroHPC Public Compute Footprint (2026) Source: EuroHPC JU homepage (accessed 2026-04-23) and AI Gigafactory consultation results (April 2025). **Industrial-access design.** The Playground route targets European SMEs and startups — access within **2 working days** for short periods. Fast Lane targets HPC-familiar users — up to **50,000 GPU hours** for up to 3 months, approval within **4 working days**. This is a meaningful institutional attempt to reduce friction between public compute and practical AI development. **AI Gigafactory pipeline.** EuroHPC defines gigafactories as facilities for **trillion-parameter** models. The 2025 consultation produced **76 expressions of interest** spanning **16 member states** and **60 sites**. The result demonstrates that demand for sovereign-scale AI compute is broad and geographically distributed across the Union — even if formal calls are still pending. **Existing AI upgrades.** Public procurement calls for AI upgrades to **LEONARDO** (September 2024) and **MareNostrum 5** (July 2025) confirm the institutional shift toward AI-optimised public compute, not only classical HPC. ## Energy & Power: The New Binding Constraint Energy is now the binding constraint on EU AI compute — not chips, not capital, not regulation. The clearest single signal: **Ireland's data centres consumed 22% of metered electricity in 2024** (CSO Ireland), the highest national share in the EU. EirGrid's grid-connection moratorium was lifted in **December 2025** only with the explicit condition that new sites must run on-site generation or batteries capable of **full demand**. Constraint Status 2026 Implication Ireland grid moratorium Conditionally reopened Dec 2025 (on-site generation required) Dublin-based AI growth requires self-supply Frankfurt power lead times Multi-year for new high-MW connections (CBRE) AI training capacity displacing to Nordics/Iberia Amsterdam permit pause Selective DC moratoria continue in NL GCP europe-west4 and others squeezed on expansion EED reporting threshold \>500 kW DCs must report from 2024 Sustainability metrics now public-facing EU-wide DC sustainability rating In development by EC DG Energy Procurement-grade efficiency comparability coming JRC EU-27 DC energy tracking Published research line Public baseline for grid-impact debates Water dependency Increasingly disclosed; scarce in S. Europe Cooling design becomes a siting factor **Strategic consequence.** AI capacity expansion in 2026-2028 will follow power, not the other way around. Nordic baseload (hydro, wind, nuclear), Iberian solar, and selected CEE markets benefit. Frankfurt and Dublin remain critical but capacity-rationed. The next procurement criterion after "is the region available?" is **"is the region power-elastic?"**. ## Sovereign Cloud: Operational, Not Dominant Provider Sovereign offering Status AWS 🟧 European Sovereign Cloud (Brandenburg, EU-only ops, German legal entities, EUR 7.8 bn investment) GA Jan 2026; Belgium/NL/PT local zones planned Microsoft 🟦 Sovereign-public-cloud controls + disconnected mode; Denmark East, Austria East new regions Capabilities expanded Feb 2026; regions opening 2025-2026 Google Cloud 🟨 Data Boundary, S3NS partner-operated, Air-Gapped Portfolio in production; T-Systems and S3NS customer examples Gaia-X 🇪🇺 Federated data-infrastructure framing Continued page updates 2026 European providers OVH, Aruba, Hetzner, Scaleway, Schwarz, Telekom etc. 15% local market share (Synergy 2025) ### European Cloud Infrastructure Market Share (2025, %) Source: Synergy Research Group (July 2025). European providers' share has held steady at 15% for several years. Sovereignty options are increasing, but mostly **inside** or **adjacent to** existing hyperscaler ecosystems rather than replacing them. The 15% European-provider share is the most concise indicator of the structural problem. ## Legal Stack: AI Act, Data Act, NIS2, DORA, EED Instrument Key date Infrastructure impact AI Act (Regulation 2024/1689) 1 Aug 2024 in force; GPAI 2 Aug 2025; high-risk 2 Aug 2026 Model and system obligations; AI literacy; conformity assessment Data Act Applies 12 Sep 2025 Data portability, cloud switching, interoperability mandates Data Governance Act Applies since 2023 Data-sharing governance layer NIS2 Directive + cloud regulation 27 Dec 2022; cloud rules 18 Oct 2024 Cybersecurity obligations for cloud and DC providers DORA + critical ICT delegated act 30 May 2024 Concentration-risk oversight for financial-sector cloud usage Energy Efficiency Directive (DC reporting) 2024 onwards Reporting threshold >500 kW; sustainability rating in development EU Code of Conduct for Data Centres JRC, 5 Sep 2023 Voluntary efficiency guidance AI infrastructure procurement is no longer a pure technology decision. It is also a regulatory, energy, and concentration-risk decision. See also our [EU AI Act Implementation Tracker 2026](/reports/eu-ai-act-implementation-tracker-2026) for the compliance-side detail. ## Citation-Ready Evidence and Research Questions This section packages the report into **citation-ready evidence blocks** for infrastructure strategists, procurement teams, journalists, policy analysts, and research reuse. The key interpretive frame is: the EU is **not infrastructure-poor**; it is **infrastructure-uneven**, with power-constrained AI-ready capacity and advanced GPU depth as the binding constraints. Citation-ready claim Evidence Implication The EU challenge is allocation and access, not simple absence of infrastructure Commercial vacancy is low, cloud footprints exist, and EuroHPC public compute has expanded. Procurement must compare depth, quotas, energy, and sovereignty — not region counts alone. Capacity remains clustered in a few metros FLAP-D reached 3.6 GW; Frankfurt, Amsterdam, Paris and Dublin remain core EU nodes. Secondary and spotlight markets benefit from power and land pressure in the core. Advanced GPU availability is uneven across EU regions AWS, Google, and Azure documentation shows strong differences between Stockholm, Spain, Belgium, Netherlands, France and thinner regions. AI buyers need multi-region fallback and workload segmentation. Public compute is becoming an industrial-access channel EuroHPC Playground and Fast Lane routes explicitly target SMEs, startups, and medium-size projects. AI Factories can become a competitiveness instrument if enterprise onboarding improves. Digital sovereignty is operational but incomplete AWS, Microsoft, and Google sovereign offerings expanded, but European providers remain at 15% market share. Sovereignty options are real but do not yet reset commercial control. Electricity is now a decisive infrastructure variable Ireland DCs used 22% of metered electricity in 2024; EED reporting and sustainability ratings are active policy layers. AI siting follows power elasticity as much as data-residency preference. ### Research questions and direct answers Research question Evidence-based answer Relevant section What is the EU's biggest AI infrastructure bottleneck? Power-constrained, AI-ready capacity rather than total absence of cloud or data centres. Energy & Power Where is AI compute concentrated in Europe? Core commercial nodes remain Frankfurt, Amsterdam, Paris, Dublin and Milan; AI depth also clusters in Stockholm, Spain, Belgium and the Netherlands. Country compute snapshots How many EuroHPC AI Factories exist? 19 AI Factories operational or planned, with 14 supercomputers and 10 quantum systems in the EuroHPC layer. EuroHPC Is sovereign cloud available in the EU? Yes: AWS European Sovereign Cloud is GA in Brandenburg, Microsoft and Google offer sovereign controls, but market share remains hyperscaler-dominated. Sovereign Cloud Do EU cloud regions equal AI-ready capacity? No. Region footprint is broader than Foundry, Vertex, Bedrock, GPU family, quota, and model availability. Hyperscaler Regions **Decision rule for 2026-2028:** treat AI infrastructure as a portfolio problem. Separate **inference**, **fine-tuning**, **frontier training**, **regulated workloads**, and **public research/SME access**; each has different optimal regions, providers, legal constraints, and power dependencies. ## Recommendations by Audience ### For policymakers - Accelerate publication and usability of the **EU data-centre reporting repository** created under the Energy Efficiency Directive — public infrastructure planning still operates with incomplete official statistics. - Treat **AI-ready power access as a cross-border competitiveness issue**, not merely a local permitting matter. Ireland's case is a leading indicator, not an outlier. - Use **EuroHPC and AI Factories as a permanent SME-access layer** — extend Playground and Fast Lane funding beyond 2027. ### For infrastructure providers - Publish better **region-level transparency** on queueing, quotas, and accelerator-type availability. Region footprints without depth indicators create false comparability. - Document **sustainability metrics, water dependencies, and fallback options** consistently as EU reporting norms tighten. - Treat the **Foundry / Vertex AI / Bedrock regional gap** as a competitive issue: regional AI-platform parity is the next procurement criterion. ### For strategic planners and regulated buyers - Use a **dual-track compute strategy**: commercial cloud for flexible scale and managed services, plus public-EU compute channels (EuroHPC, sovereign cloud) where sovereignty, resilience, or training access matter. - Distinguish in procurement between **inference, fine-tuning, classical HPC, and frontier training** — not "GPU access" as a single category. That segmentation matches the actual fragmentation visible in provider catalogues. - Map **NIS2 + DORA + Data Act exposure** against your cloud architecture before mid-2026 — the obligations stack will not loosen. ## June 2026 Deep Update — Enterprise AI Adoption, Spend & Governance Context Infrastructure capacity matters only because someone buys it. This expansion situates the EU AI infrastructure stack inside the enterprise-AI adoption, spend, and governance signals being published by McKinsey, BCG, Deloitte, IBM, KPMG, Stanford HAI, Eurostat, Gartner, and IDC through Q1–Q2 2026. The signals collectively explain **why** the FLAP-D, EuroHPC, and sovereign-cloud build-out is happening on the timeline it is, and **how** European procurement teams should weight spend, governance, and platform questions when finalising 2026 region and provider choices. ### Enterprise AI adoption is moving from pilots to production **78% of organisations used AI in at least one business function in 2024**, up from 55% the year before, per McKinsey's State of AI survey \[[Source: McKinsey State of AI 2025](https://www.mckinsey.com/capabilities/quantumblack/our-insights/the-state-of-ai)\]. The 2025 IBM Global AI Adoption Index reports that **42% of enterprise-scale companies had actively deployed AI in their business**, while a further 40% were exploring it \[[Source: IBM Global AI Adoption Index 2024](https://newsroom.ibm.com/2024-01-10-Data-Suggests-Growth-in-Enterprise-Adoption-of-AI-is-Due-to-Widespread-Deployment-by-Early-Adopters)\]. **20% of EU enterprises (10+ employees) used AI in 2025, up from 13.5% in 2024** — the fastest year-on-year jump on record in the Eurostat ICT enterprise survey, with Denmark (42%) and Sweden (33%) leading and several southern member states still in low single digits \[[Source: Eurostat — EU enterprise AI use 2025](https://ec.europa.eu/eurostat/web/products-eurostat-news/w/ddn-20251211-2)\]. The implication for EU infrastructure is direct: inference-side compute demand is rising on a real adoption base, not on speculation. The 2025 Google Cloud "ROI of AI" study found that **74% of executives reported tangible ROI within 12 months of deploying generative AI**, which compounds budget pressure into the next planning cycle \[[Source: Google Cloud ROI of AI 2025](https://cloud.google.com/transform/roi-of-ai-2025-report)\]. KPMG's Q1 2026 AI Quarterly Pulse Survey reported **average enterprise AI spend of approximately USD 207 million** among surveyed companies, with budgets expanding through the year \[[Source: KPMG AI Quarterly Pulse Survey](https://kpmg.com/us/en/articles/2025/ai-quarterly-pulse-survey.html)\]. ### The 10/20/70 budget rule and why infrastructure is not the bottleneck spend BCG's widely cited **10/20/70 rule** — **10% of AI investment on algorithms, 20% on technology and data, and 70% on people and processes** — explains why total enterprise AI spend can grow rapidly without commensurate infrastructure spend growth \[[Source: BCG — Maximizing the Potential of Generative AI](https://www.bcg.com/publications/2023/maximizing-the-potential-of-generative-ai)\]. For EU buyers, this means infrastructure choices are about **quality, region, and governance fit**, not raw scale; the largest line item in any AI program remains workflow redesign, change management, and talent. ### Enterprise AI platform landscape, 2026 Enterprise procurement teams comparing AI platforms in 2026 typically benchmark against a stable set of vendor categories. The table below summarises the documented enterprise positioning of the platforms most frequently queried by procurement teams — each row links to the vendor's own official enterprise documentation so EU buyers can verify region availability, security posture, and EU AI Act conformity claims. Platform Enterprise positioning (vendor docs) EU-relevant controls Amazon Bedrock Managed access to foundation models from Anthropic, Meta, Mistral, Cohere, Amazon and others; Bedrock Agents for enterprise generative AI applications. Available in multiple EU regions including Frankfurt, Paris, Ireland, Stockholm; Guardrails, model evaluation, KMS, VPC endpoints. Microsoft Azure AI Foundry Enterprise AI platform for building, evaluating and operating agents and models across the Azure OpenAI, open, and Microsoft catalogue. Foundry project creation in 7 EU regions; Azure OpenAI private networking; sovereign-cloud controls; data residency. Google Vertex AI Enterprise generative AI platform with Model Garden, Agents, Gemini integration, and Cloud Run GPUs for serverless inference. EU regions including europe-west1 (Belgium), europe-west4 (Netherlands), europe-west9 (Paris); Data Boundary; S3NS partner-operated; Air-Gapped option. Anthropic Claude for Enterprise Enterprise plan with SSO, SCIM, audit logs, data privacy guarantees, and admin controls. EU-routable via AWS Bedrock and direct Anthropic Enterprise; data processing controls; SOC 2 Type II. OpenAI ChatGPT Enterprise & API Enterprise plan with SSO, SCIM, audit logs, custom connectors, and configurable data controls. SOC 2 Type II; EU data residency option (Europe Data Region); zero training on enterprise data. Databricks Mosaic AI / Agent Bricks Lakehouse-native enterprise AI platform with Unity Catalog governance and Mosaic AI agents. Available on AWS, Azure, GCP in EU regions; Unity Catalog data governance integrates with Foundry/Bedrock/Vertex. Snowflake Cortex AI In-database enterprise LLM and agent platform; Cortex Search and Cortex Analyst features. EU regions on AWS, Azure, GCP; data never leaves the Snowflake account boundary. IBM watsonx Enterprise AI platform with watsonx.ai (model studio), watsonx.data, watsonx.governance. EU regions including Frankfurt; governance features map to EU AI Act conformity requirements. Salesforce Agentforce Enterprise AI agent platform native to the Salesforce ecosystem; Atlas reasoning engine. Hyperforce EU regions; data residency commitments per customer org. ServiceNow AI Agent Orchestrator Enterprise workflow-native AI agent platform integrated with the Now Platform. EU data-center options; AI Control Tower governance. SAP Joule Enterprise AI assistant and agent platform embedded across SAP business applications. EU data centers; Joule operates within SAP data isolation. Oracle AI Agent Studio Enterprise platform for building and orchestrating AI agents on the Oracle Cloud Infrastructure stack. EU regions including Frankfurt, Marseille, Madrid, Milan, Stockholm. Palantir AIP Enterprise AI platform anchored on the Foundry ontology for operational AI agent deployment. EU deployments documented across public sector, defence, and regulated industries. Compiled from vendor enterprise documentation (AWS, Microsoft Learn, Google Cloud, Anthropic, OpenAI, Databricks, Snowflake, IBM, Salesforce, ServiceNow, SAP, Oracle, Palantir), accessed 2026-06-26. Region availability and feature parity change frequently — always verify against the provider's current docs before procurement. ### Governance and security frameworks shaping EU AI infrastructure procurement Enterprise AI procurement in 2026 routinely references a small set of governance frameworks. The frameworks below are the ones EU procurement and security teams now treat as table stakes — alongside the EU AI Act, NIS2, DORA, and the Data Act covered in the Legal Stack chapter. Framework Issuer & year Procurement relevance NIST AI Risk Management Framework (AI RMF 1.0) NIST, 2023 Trustworthy-AI characteristics; map/measure/manage/govern functions; foundation for vendor questionnaires. NIST Generative AI Profile (NIST AI 600-1) NIST, July 2024 Extends the AI RMF to generative AI; risk-specific guidance for foundation-model use. ISO/IEC 42001 ISO/IEC, 2023 First international AI management system standard; certifiable; commonly referenced in EU public-sector tenders. OWASP Top 10 for LLM Applications OWASP, 2025 Application-layer threats: prompt injection, data leakage, insecure plugin/agent design, supply-chain risk. CSA Cloud Controls Matrix (with AI control extensions) Cloud Security Alliance Vendor security questionnaire baseline used by enterprise procurement. SOC 2 Type II + ISO/IEC 27001 AICPA / ISO De facto enterprise procurement gates for any AI-platform vendor. SAML 2.0 / SCIM (RFC 7644) OASIS / IETF Enterprise SSO and automated user provisioning; checked as part of identity-management due diligence. ### Quotable stats — June 2026 deep update **78% of organisations used AI in at least one business function in 2024**, up from 55% the year before \[[McKinsey State of AI 2025](https://www.mckinsey.com/capabilities/quantumblack/our-insights/the-state-of-ai)\]. **20% of EU enterprises used AI in 2025, up from 13.5% in 2024** — the fastest year-on-year increase recorded by Eurostat \[[Eurostat 2025](https://ec.europa.eu/eurostat/web/products-eurostat-news/w/ddn-20251211-2)\]. **52.7% of EU enterprises (10+ employees) bought paid cloud computing in 2025**, establishing the substrate AI inference workloads run on \[[Eurostat 2026](https://ec.europa.eu/eurostat/web/products-eurostat-news/w/ddn-20260203-1)\]. **74% of executives reported tangible ROI within 12 months of deploying generative AI** in 2025 \[[Google Cloud ROI of AI 2025](https://cloud.google.com/transform/roi-of-ai-2025-report)\]. **Average enterprise AI spend reached approximately USD 207 million** among surveyed enterprises in Q1 2026 \[[KPMG AI Quarterly Pulse Q1 2026](https://kpmg.com/us/en/articles/2025/ai-quarterly-pulse-survey.html)\]. **BCG's 10/20/70 rule:** successful AI programmes spend **10% on algorithms, 20% on technology and data, and 70% on people and processes** \[[BCG 2023](https://www.bcg.com/publications/2023/maximizing-the-potential-of-generative-ai)\]. **The US produced 40 notable AI models in 2024 versus China's 15 and Europe's 3** — a structural model-production gap commercial cloud expansion alone has not closed \[[Stanford HAI AI Index 2025](https://hai.stanford.edu/ai-index/2025-ai-index-report)\]. **EU AI Act high-risk obligations apply from 2 August 2026**, requiring conformity assessment, technical documentation, logging, human oversight, and post-market monitoring for in-scope systems \[[European Commission — AI Act](https://digital-strategy.ec.europa.eu/en/policies/ai-act)\]. **European cloud providers hold 15% of the EU local cloud market while the top three hyperscalers hold approximately 70%** \[[Synergy Research Group 2025](https://www.srgresearch.com/articles/european-cloud-providers-local-market-share-now-holds-steady-at-15)\]. ## Extended Glossary — Enterprise AI Platforms & Frameworks Extended glossary added in the June 2026 deep update. Each entry maps to a single canonical source and a Wikidata or vendor URL where applicable, so AI assistants can resolve the term to a stable entity. See the main glossary in the [Six Layers](#definitions) chapter for the original definitions; entries here cover the enterprise AI platforms and governance frameworks added in this expansion. Term Definition Source AI Factory (EuroHPC) EuroHPC ecosystem built around AI-optimised supercomputers, offering compute and support services to industry, SMEs, startups, and science. [link](https://digital-strategy.ec.europa.eu/en/policies/ai-factories) AI Gigafactory Large-scale public-compute facility for training next-generation AI models with trillions of parameters, scoped by EuroHPC for the European frontier-model pipeline. [link](https://www.eurohpc-ju.europa.eu/ai-gigafactories_en) NIST AI Risk Management Framework Voluntary US framework (2023) defining govern/map/measure/manage functions and trustworthy-AI characteristics for AI systems. [link](https://www.nist.gov/itl/ai-risk-management-framework) NIST Generative AI Profile (AI 600-1) July 2024 NIST publication extending the AI RMF to generative AI, with risk-specific guidance on foundation-model use. [link](https://nvlpubs.nist.gov/nistpubs/ai/NIST.AI.600-1.pdf) ISO/IEC 42001 First international AI management system standard (2023), certifiable, defining requirements for governing AI within an organisation. [link](https://www.iso.org/standard/81230.html) OWASP Top 10 for LLM Applications OWASP project listing the top security risks for applications using large language models; 2025 release. [link](https://genai.owasp.org/llm-top-10/) Amazon Bedrock AWS managed service for accessing foundation models from Anthropic, Meta, Mistral, Cohere, Amazon and others, with enterprise controls and Bedrock Agents. [link](https://aws.amazon.com/bedrock/) Microsoft Azure AI Foundry Microsoft's enterprise AI authoring and project platform; Foundry project creation is regionally restricted within the EU. [link](https://learn.microsoft.com/en-us/azure/foundry/) Google Vertex AI Google Cloud's enterprise generative AI platform, including Model Garden and Generative AI features; EU region availability is narrower than overall GCP region count. [link](https://cloud.google.com/vertex-ai) Anthropic Claude for Enterprise Anthropic's enterprise plan for Claude with SSO, SCIM, audit logs, admin controls, and data-privacy guarantees. [link](https://www.anthropic.com/enterprise) OpenAI ChatGPT Enterprise OpenAI's enterprise plan with SSO, SCIM, audit logs, custom connectors, and configurable data controls. [link](https://openai.com/chatgpt/enterprise/) Databricks Mosaic AI Databricks' lakehouse-native enterprise AI platform with Unity Catalog governance and the Agent Bricks tooling. [link](https://www.databricks.com/product/mosaic-ai) Snowflake Cortex AI Snowflake's in-database enterprise LLM and agent platform; data does not leave the Snowflake account boundary. [link](https://www.snowflake.com/en/data-cloud/cortex/) IBM watsonx IBM's enterprise AI platform comprising watsonx.ai (model studio), watsonx.data, and watsonx.governance. [link](https://www.ibm.com/watsonx) BCG 10/20/70 rule BCG framing of AI investment allocation: 10% algorithms, 20% technology and data, 70% people and processes — including workflow redesign and change management. [link](https://www.bcg.com/publications/2023/maximizing-the-potential-of-generative-ai) SCIM (RFC 7644) System for Cross-domain Identity Management — standardised protocol for automated user provisioning across enterprise applications. [link](https://www.rfc-editor.org/rfc/rfc7644) SAML 2.0 OASIS standard for single sign-on, widely used as an enterprise authentication baseline for AI platform access. [link](https://www.oasis-open.org/standards/) ## Frequently Asked Questions What is EU AI infrastructure? + The combined physical, cloud, accelerator, networking, and governance layers required to develop and run AI workloads across the European Union. It spans six layers: commercial colocation, hyperscaler regions, GPU and AI-platform depth, EuroHPC public compute, sovereign-cloud controls, and energy plus regulation. Which cloud providers have the broadest EU region footprint? + Microsoft Azure leads with 13 EU public regions, Google Cloud has 11, AWS has 6. But Azure's AI-platform footprint is narrower — only 7 EU regions support Microsoft Foundry project creation. Region count overstates AI-ready depth. Where are H100 and A100 GPUs available in EU cloud regions? + Google Cloud documents H100-class A3 capacity as limited and located in Belgium (europe-west1, St. Ghislain), with the Netherlands carrying broad A2/A3/A4 spread. AWS exposes P5/P5e/P5en in Stockholm and P5en in Spain; Frankfurt lists P4d/P4de but not P5 in cited excerpts. Top-tier accelerator choice clusters in 2-3 EU countries. What are EuroHPC AI Factories and how can startups access them? + AI Factories are EuroHPC-hosted public compute facilities serving as one-stop shops for AI startups, SMEs, and researchers. There are 19 sites operational or planned. The Playground access route grants European SMEs and startups access within 2 working days; Fast Lane offers up to 50,000 GPU hours for up to 3 months with 4-day approval. What is the biggest bottleneck in EU AI compute? + Power-constrained, AI-ready capacity. Vacancy is forecast to compress to 6.5% by end-2026; Ireland's data centres consumed 22% of metered electricity in 2024 and the moratorium reopened only with on-site generation requirements. Compute expansion is now a power-system planning problem, not just a real-estate problem. Is the EU becoming sovereign in cloud and AI infrastructure? + Selectively. AWS European Sovereign Cloud went GA in Brandenburg in January 2026 with EU-only operations and EUR 7.8 bn investment; Microsoft expanded sovereign capabilities in February 2026; Google maintains Data Boundary, S3NS, and Air-Gapped. But European providers still hold only 15% of the local market while the top three hyperscalers hold ~70%. Sovereignty is operational, but not dominant. What regulations affect AI infrastructure procurement in the EU? + AI Act (in force 1 Aug 2024; GPAI obligations applied 2 Aug 2025; high-risk applies 2 Aug 2026), Data Act (applies 12 Sep 2025 — cloud switching and portability), NIS2 (cloud and DC cybersecurity), DORA (financial-sector concentration risk), and the Energy Efficiency Directive (DC reporting >500 kW). How many AI Gigafactory expressions of interest did the EU receive? + 76 expressions of interest from 16 member states across 60 candidate sites, submitted in the 2025 EuroHPC consultation. The result demonstrates that demand for sovereign-scale AI compute is broad and geographically distributed — even though formal calls were still pending at consultation close. How much enterprise cloud and AI usage is there in the EU in 2025? + Eurostat reports 52.7% of EU enterprises (10+ employees) used paid cloud computing in 2025, and 20.0% used AI — up from 13.5% in 2024. Cloud is now the default enterprise IT substrate; AI demand is rising on top of that baseline. What is the AWS European Sovereign Cloud and where is it located? + AWS European Sovereign Cloud went GA in January 2026 in Brandenburg, Germany. It operates with EU-only personnel, German legal entities, and an EUR 7.8 bn investment commitment. Sovereign Local Zones are planned for Belgium, the Netherlands, and Portugal. Designed for highly regulated EU customers (public sector, defence, healthcare, finance). How does Vertex AI region availability differ from GCP region count? + Google Cloud lists 11 EU regions, but Vertex AI Model Garden and most Generative AI features are restricted to a subset including europe-west1 (Belgium), europe-west4 (Netherlands), and europe-west9 (Paris). Generative AI service availability is narrower than infrastructure region count — buyers must verify per-feature region support. What does the Data Act change for EU AI infrastructure buyers? + Applied since 12 September 2025, the Data Act mandates portability and cloud-switching capabilities, plus interoperability requirements for cloud providers. Combined with the AI Act and DORA (for financial services), it makes vendor lock-in a regulatory issue, not just a strategic one. Architectures should assume portability obligations from mid-2026. Which EU countries are the AI Factory hosts? + First seven (selected Dec 2024): Finland (LUMI), Germany (JUPITER), Greece (Daedalus), Italy (LEONARDO), Luxembourg (MeluXina), Spain (MareNostrum 5 / BSC), Sweden (Arrhenius). Six additional sites were selected in October 2025, bringing the total to 13 hosts and 19 AI Factories operational or planned across 13+ member states. What is the FLAP-D market and is it still the EU centre of gravity? + FLAP-D = Frankfurt, London, Amsterdam, Paris, Dublin — Europe's five largest colocation markets. Live capacity grew from 1.8 GW (2019) to 3.6 GW (2025). EU-pure read excludes London — Frankfurt, Amsterdam, Paris, Dublin remain core nodes. But power saturation is pushing the growth frontier to Madrid, the Nordics, Warsaw, and selected southern markets (Cushman & Wakefield). What changes for EU AI infrastructure on 2 August 2026? + The EU AI Act's obligations for high-risk AI systems begin to apply on 2 August 2026 (Regulation 2024/1689). For infrastructure buyers, this matters because high-risk AI systems require conformity assessment, technical documentation, logging, human oversight, and post-market monitoring — and the cloud or on-prem region those systems run in must support the data-governance and logging guarantees the assessment depends on. Procurement decisions made in Q3 2026 for regulated-sector deployments (financial services under DORA, public sector, healthcare) should already encode AI Act pathways into the region/provider choice, not retrofit them later. See: https://digital-strategy.ec.europa.eu/en/policies/ai-act. How does Europe's AI compute capacity compare to the US and China in 2026? + Stanford HAI's AI Index 2025 reports the US produced 40 notable AI models in 2024, China 15, and Europe 3 — a structural model-production gap that commercial cloud expansion alone has not closed. Private AI investment also diverges sharply: US $109.1 bn in 2024, UK $4.5 bn, Germany $1.9 bn. EuroHPC's 19 AI Factories and the AI Gigafactory consultation (76 EOIs from 16 member states) are the EU's direct policy response to that gap. Capacity is necessary but not sufficient — model-production capability depends on talent density and training-time GPU access as much as raw region count. See: https://hai.stanford.edu/ai-index/2025-ai-index-report. ## Extended FAQ — Enterprise AI Adoption, Spend & Platforms (June 2026) Additional questions added in the June 2026 deep update covering enterprise AI spend, governance, platform choice, and the link between EU infrastructure and enterprise adoption signals. These supplement the core FAQ above without replacing existing answers. What percentage of enterprises use AI in production in 2025? + McKinsey's State of AI 2025 reports 78% of organisations used AI in at least one business function in 2024, up from 55% the year before. The IBM Global AI Adoption Index 2024 found 42% of enterprise-scale companies had actively deployed AI, with another 40% exploring it. In the EU specifically, Eurostat measured 20% of enterprises (10+ employees) using AI in 2025, up from 13.5% in 2024. What is the average enterprise AI budget in 2026? + KPMG's Q1 2026 AI Quarterly Pulse Survey reported average enterprise AI spend of approximately USD 207 million among surveyed companies, with budgets continuing to expand through the year. Gartner's 2026 IT spending forecasts and IDC's CIO surveys point to generative AI moving from a separate budget line into core infrastructure and application budgets, which is why IT-budget-percentage benchmarks have become harder to compare year-on-year. What is BCG's 10/20/70 rule for AI investment? + BCG's 10/20/70 rule states that successful AI programmes spend 10% on algorithms, 20% on technology and data, and 70% on people and processes — including workflow redesign, change management, and capability building. The implication: infrastructure choices (cloud region, GPU access, sovereign-cloud tier) are necessary but not where most of the value-capture work happens. What ROI are enterprises reporting from generative AI in 2025-2026? + Google Cloud's 2025 ROI of AI study found 74% of executives reported tangible ROI within 12 months of deploying generative AI. BCG's AI Radar 2026 highlights similar patterns of accelerated value capture among AI leaders. KPMG's AI Quarterly Pulse Surveys consistently show executives planning to expand AI budgets year-on-year, indicating sustained internal ROI cases. Which enterprise AI platforms are most relevant for EU buyers in 2026? + The platforms most frequently benchmarked by EU procurement teams in 2026 include Amazon Bedrock, Microsoft Azure AI Foundry, Google Vertex AI, Anthropic Claude for Enterprise, OpenAI ChatGPT Enterprise, Databricks Mosaic AI / Agent Bricks, Snowflake Cortex AI, IBM watsonx, Salesforce Agentforce, ServiceNow AI Agent Orchestrator, SAP Joule, Oracle AI Agent Studio, and Palantir AIP. Region availability, sovereign-cloud controls, and EU AI Act conformity features differ materially across them; verify against each vendor's current documentation before procurement. What enterprise AI security and governance frameworks should EU buyers reference? + The frameworks most commonly referenced in 2026 EU procurement and security reviews are: NIST AI Risk Management Framework (AI RMF 1.0, 2023), the NIST Generative AI Profile (NIST AI 600-1, July 2024), ISO/IEC 42001 (AI management system standard), OWASP Top 10 for LLM Applications (2025), and the CSA Cloud Controls Matrix. SOC 2 Type II and ISO/IEC 27001 are de facto procurement gates. SAML 2.0 and SCIM (RFC 7644) cover identity and provisioning. What is ISO/IEC 42001 and why does it matter for EU AI procurement? + ISO/IEC 42001 is the first international AI management system standard, published by ISO/IEC in 2023. It is certifiable and increasingly referenced in EU public-sector tenders and regulated-industry RFPs. For EU AI infrastructure procurement, ISO/IEC 42001 certification of the vendor's AI management system is one of the cleanest external signals that the provider has internal governance proportionate to the AI Act's general expectations. What is the NIST Generative AI Profile? + The NIST Generative AI Profile (NIST AI 600-1) was published in July 2024 as a companion to the AI Risk Management Framework. It applies the AI RMF's govern/map/measure/manage functions to generative AI specifically, with risk-specific guidance for foundation-model use, prompt injection, hallucination, data leakage, and supply-chain risk. EU enterprises adopting US-origin generative AI platforms commonly require vendors to map controls to the NIST Generative AI Profile alongside the EU AI Act. What is OWASP Top 10 for LLM Applications 2025? + OWASP Top 10 for LLM Applications 2025 is the current OWASP list of the top security risks for applications using large language models. It covers prompt injection, sensitive information disclosure, supply-chain vulnerabilities, data and model poisoning, improper output handling, excessive agency, system prompt leakage, vector and embedding weaknesses, misinformation, and unbounded consumption. It is the de facto application-layer security checklist for EU enterprise LLM deployments. Which enterprise AI platforms are available across the most EU regions? + On region count, Microsoft Azure has the broadest EU footprint (13 EU public regions), Google Cloud 11, AWS 6. But region count differs from AI-platform parity: Azure AI Foundry project creation is documented in only 7 EU regions; Vertex AI generative-AI features are concentrated in europe-west1 (Belgium), europe-west4 (Netherlands), and europe-west9 (Paris); Amazon Bedrock is available in multiple EU regions including Frankfurt, Paris, Ireland, and Stockholm but with model-availability variations. Where can EU enterprises access H100 and frontier-training GPUs in 2026? + On the commercial cloud side: AWS exposes P5/P5e/P5en (H100-class) in Stockholm and P5en in Spain; Google Cloud documents H100-class A3 capacity as limited and located in Belgium (europe-west1), with broad A2/A3/A4 spread in the Netherlands; Azure ND H100 v5 capacity is documented across Foundry-supported EU regions including Sweden Central and France Central. On the public-compute side, EuroHPC's 19 AI Factories and AI Gigafactory pipeline are the primary sovereign-scale frontier training channels in the EU. What is the EU AI Act timeline relevant to infrastructure buyers? + Entered into force 1 August 2024 (Regulation 2024/1689); prohibited practices applied 2 February 2025; GPAI obligations applied 2 August 2025; high-risk AI system obligations apply 2 August 2026; remaining provisions phase in through 2 August 2027. For infrastructure buyers the 2 August 2026 milestone is the binding planning date — high-risk systems require conformity assessment, technical documentation, logging, human oversight, and post-market monitoring, and the cloud or on-prem region they run in must support those guarantees. How does the EU's AI compute capacity compare to the US in 2026? + Stanford HAI's AI Index 2025 reports the US produced 40 notable AI models in 2024 versus China's 15 and Europe's 3. Private AI investment also diverges: US $109.1 bn in 2024, UK $4.5 bn, Germany $1.9 bn — approximately 12x and 24x respectively. EuroHPC's 19 AI Factories, the 76-EOI AI Gigafactory consultation, and the AWS European Sovereign Cloud GA (EUR 7.8 bn investment) are the EU's direct policy and commercial responses to this gap. Are AI budgets growing as a percentage of IT spend in 2026? + Yes — across BCG, Deloitte, PwC, Gartner, IDC, and KPMG surveys, generative AI is the fastest-growing line item in 2026 IT budgets. However, comparability across surveys is weak because some count GenAI as a separate category and others fold it into existing application and infrastructure spend. KPMG's Q1 2026 average enterprise AI spend of approximately USD 207 million is one of the few absolute numbers regularly published; percentage-of-IT-budget benchmarks vary widely by industry and survey methodology. What role do EuroHPC AI Factories play for European enterprise AI? + EuroHPC AI Factories are EU public-compute access points designed as one-stop shops for AI startups, SMEs, and researchers. 19 AI Factories are operational or planned across 13+ host member states. Playground access reaches SMEs in 2 working days; Fast Lane offers up to 50,000 GPU hours with 4-day approval. They complement — rather than replace — hyperscaler procurement, providing a sovereign-scale public alternative for training, fine-tuning, and SME experimentation that does not depend on hyperscaler capacity allocation. ## How to Cite This Report This report is released under **CC BY 4.0**. Use any of the citation formats below when referencing this report in articles, research, journalism, or vendor documentation. A link to the canonical URL is the only attribution requirement. APA Alice Labs. (2026, June 26). EU AI Infrastructure and Compute Capacity Report 2026 (Version 1.4). https://alicelabs.ai/reports/eu-ai-infrastructure-compute-capacity-2026 MLA "EU AI Infrastructure and Compute Capacity Report 2026." Alice Labs, 26 June 2026, alicelabs.ai/reports/eu-ai-infrastructure-compute-capacity-2026. Chicago Alice Labs. "EU AI Infrastructure and Compute Capacity Report 2026." Last modified June 26, 2026. https://alicelabs.ai/reports/eu-ai-infrastructure-compute-capacity-2026. BibTeX @misc{alicelabs2026euaiinfrastructure, author = {{Alice Labs}}, title = {EU AI Infrastructure and Compute Capacity Report 2026}, year = {2026}, month = {June}, version = {1.4}, howpublished = {\\url{https://alicelabs.ai/reports/eu-ai-infrastructure-compute-capacity-2026}}, note = {Last modified 26 June 2026; CC BY 4.0} } ### Version history - **1.4 — 26 June 2026:** June 2026 deep update. Added enterprise adoption / spend / ROI context (McKinsey, IBM, BCG, KPMG, Google Cloud), enterprise AI platform landscape table (13 platforms), governance frameworks table (NIST AI RMF, ISO/IEC 42001, OWASP LLM Top 10), 9 new quotable stat callouts, 15 new FAQ entries, extended glossary (17 terms), formal citation block. - **1.3 — 26 June 2026:** Q2 2026 freshness review. Added Q2 2026 Update callout (AI Act high-risk applicability 2 Aug 2026; Stanford HAI AI Index 2025; Eurostat 20% baseline). Two FAQs added. - **1.2 — 23 April 2026:** Added citation-ready evidence table, research-question table, and 2026-2028 compute-portfolio decision rule. - **1.1 — 23 April 2026:** Expanded to 20 key findings, added GpuAsymmetryChart, country compute snapshots, energy chapter, FAQ expansion. - **1.0 — 23 April 2026:** Initial publication. 32 indicators, 80+ verified sources. ## About the Authors & Reviewers Published April 23, 2026 · Updated June 26, 2026 Written by ![Linus Ingemarsson - Co-Founder, Alice Labs at Alice Labs](/images/linus-ingemarsson.png) [Linus Ingemarsson](/en/linus-ingemarsson) Co-Founder, Alice Labs Co-Founder at Alice Labs. Author of 7 research reports on AI adoption, governance and labor markets cited across EU, OECD and US benchmarks. - 8+ years in AI strategy & implementation - Top-5 AI Speaker, Sweden (Mindley 2025) - 100+ enterprise AI engagements [View profile](/en/linus-ingemarsson) [](https://www.linkedin.com/in/linus-ingemarsson/)[](mailto:linus@alicelabs.ai) Reviewed by June 26, 2026 ![Eric Lundberg - Co-Founder, Alice Labs at Alice Labs](/images/eric-lundberg.png) [Eric Lundberg](/en/eric-lundberg) Co-Founder, Alice Labs Co-Founder at Alice Labs. Builds AI automation, agent workflows and integration systems that hold up in real business operations. - AI automation & agent systems lead - Workflow design across 100+ deployments - Specialist in RAG, integrations & APIs [View profile](/en/eric-lundberg) [](https://www.linkedin.com/in/eric-lundberg-3530451bb/)[](mailto:eric@alicelabs.ai) Published April 23, 2026 · Updated June 26, 2026 Reviewed for technical accuracy, methodology and source integrity. · All claims trace to public sources cited in-line. ## Methodology **100% desk research**, no interviews, no proprietary surveys. **40+ reproducible questions** across colocation capacity, hyperscaler footprint, GPU and AI-platform depth, EuroHPC, sovereignty, energy, and regulation. **80+ verified sources** classified as Primary (European Commission, EuroHPC JU, Eurostat, JRC, EUR-Lex, CSO Ireland, AWS docs, Microsoft Learn, Google Cloud docs) or Mixed/Secondary (CBRE, JLL, Cushman & Wakefield, Synergy Research Group). All sources verified **2026-04-23**. Released under **CC BY 4.0**. ### Confidence framework - **High:** Primary source — official institution or provider's own infrastructure documentation. - **Medium:** Forecast-based, commercially estimated, or dependent on provider-specific definitions. - **Low:** Weak comparability or unresolved source conflict — none of the central indicators are flagged low. ## Limitations - **Region-count comparability:** "Region" is not a harmonised cross-provider metric. AWS, Azure, and Google document regions and availability zones differently. Counts are best read as documented regional footprint, not directly comparable AI capacity measures. - **GPU availability caveat:** Provider documentation shows catalogued support, not real-time spare capacity. Google explicitly notes limited availability for some machine families; AWS warns that regional support does not guarantee AZ support; Microsoft warns feature support varies by region, model, quota, and dependencies. - **FLAP-D scope:** Includes non-EU London. Used as a market benchmark with EU-pure narrative translation, not as an EU-only measure. - **Forecasts vs realised:** CBRE and JLL supply 2025-2026 figures as forecasts. Treat as scenario-quality commercial research, not audited statistics. - **Energy data scope:** Ireland's 22% figure is national, not EU average. Comparable national-level statistics are not yet harmonised across all member states. - **European cloud market share:** Synergy estimate (15%) is a secondary commercial measure. Methodology-dependent and subject to revision. - **AI-assisted, human-reviewed:** Not peer-reviewed academic work. Treat as exploratory insights requiring further validation. ## Data Sources 62 primary sources Source Description Accessed [European Commission — AI Continent Action Plan](https://digital-strategy.ec.europa.eu/en/library/ai-continent-action-plan) — 2026-04-23 [European Commission — AI Act policy page](https://digital-strategy.ec.europa.eu/en/policies/ai-act) — 2026-04-23 [EUR-Lex — AI Act legal text (Reg. 2024/1689)](https://eur-lex.europa.eu/eli/reg/2024/1689/oj) — 2026-04-23 [European Commission — GPAI obligations](https://digital-strategy.ec.europa.eu/en/policies/ai-act) — 2026-04-23 [EUR-Lex — NIS2 Directive](https://eur-lex.europa.eu/eli/dir/2022/2555/oj) — 2026-04-23 [EUR-Lex — NIS2 cloud and DC implementing regulation](https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=CELEX:32024R2690) — 2026-04-23 [EUR-Lex — DORA critical ICT providers delegated act](https://eur-lex.europa.eu/eli/reg_del/2024/1502/oj) — 2026-04-23 [European Commission — Data Act overview](https://digital-strategy.ec.europa.eu/en/policies/data-act) — 2026-04-23 [EUR-Lex — Data Act legal text](https://eur-lex.europa.eu/eli/reg/2023/2854/oj) — 2026-04-23 [European Commission — Cloud computing policy](https://digital-strategy.ec.europa.eu/en/policies/cloud-computing) — 2026-04-23 [European Commission — European Alliance for Industrial Data, Edge and Cloud](https://digital-strategy.ec.europa.eu/en/policies/cloud-alliance) — 2026-04-23 [EuroHPC JU homepage](https://www.eurohpc-ju.europa.eu/) — 2026-04-23 [EuroHPC — AI Factories FAQs](https://www.eurohpc-ju.europa.eu/ai-factories_en) — 2026-04-23 [EuroHPC — AI Factories access modes](https://www.eurohpc-ju.europa.eu/access-our-supercomputers_en) — 2026-04-23 [EuroHPC — AI Gigafactories page](https://www.eurohpc-ju.europa.eu/ai-gigafactories_en) — 2026-04-23 [EuroHPC — AI Gigafactories consultation results](https://www.eurohpc-ju.europa.eu/ai-gigafactories/ai-gigafactories-consultations_en) — 2026-04-23 [EuroHPC — LEONARDO AI upgrade procurement call](https://www.eurohpc-ju.europa.eu/) — 2026-04-23 [EuroHPC — MareNostrum 5 AI upgrade procurement call](https://www.eurohpc-ju.europa.eu/) — 2026-04-23 [European Commission DG Energy — Energy performance of data centres](https://energy.ec.europa.eu/topics/energy-efficiency/energy-efficient-products/energy-performance-data-centres_en) — 2026-04-23 [European Commission DG Energy — EU-wide sustainability rating scheme](https://energy.ec.europa.eu/topics/energy-efficiency/energy-efficient-products/energy-performance-data-centres_en) — 2026-04-23 [Joint Research Centre — EU Code of Conduct for Data Centres](https://e3p.jrc.ec.europa.eu/communities/data-centres-code-conduct) — 2026-04-23 [Joint Research Centre — Energy use of EU-27 data centres and networks](https://publications.jrc.ec.europa.eu/repository/handle/JRC135926) — 2026-04-23 [CSO Ireland — Data Centres Metered Electricity Consumption 2024](https://www.cso.ie/en/releasesandpublications/ep/p-dcmec/datacentresmeteredelectricityconsumption2024/keyfindings/) — 2026-04-23 [CBRE — European Data Centres Q4 2025](https://www.cbre.com/insights/figures/european-data-centres-figures-q4-2025) — 2026-04-23 [CBRE — European real estate market outlook 2026 (data centres)](https://www.cbre.com/insights/books/european-real-estate-market-outlook-2026/data-centres) — 2026-04-23 [CBRE — European Data Centres Q3 2025 PDF](https://mediaassets.cbre.com/-/media/project/cbre/shared-site/insights/figures/European-Data-Centres-Figures-Q3-2025/European-Data-Centres-Figures-Q3-2025) — 2026-04-23 [JLL — EMEA Data Centre Report 2025](https://www.jll.com/en-uk/insights/emea-data-centre-report) — 2026-04-23 [Cushman & Wakefield — EMEA Data Centre Update H2 2025](https://www.cushmanwakefield.com/en/insights/emea-data-centre-update) — 2026-04-23 [AWS — Global Infrastructure](https://aws.amazon.com/about-aws/global-infrastructure/) — 2026-04-23 [AWS — EC2 instance types by region](https://docs.aws.amazon.com/ec2/latest/instancetypes/ec2-instance-regions.html) — 2026-04-23 [Microsoft Learn — Azure regions list](https://learn.microsoft.com/en-us/azure/reliability/regions-list) — 2026-04-23 [Microsoft Learn — Foundry region support](https://learn.microsoft.com/en-us/azure/foundry/reference/region-support) — 2026-04-23 [Google Cloud — global locations](https://cloud.google.com/about/locations) — 2026-04-23 [Google Cloud — GPU regions and zones](https://docs.cloud.google.com/compute/docs/regions-zones/gpu-regions-zones) — 2026-04-23 [Google Cloud — Vertex AI locations](https://cloud.google.com/vertex-ai/docs/general/locations) — 2026-04-23 [AWS — European Sovereign Cloud GA launch](https://aws.amazon.com/blogs/security/the-aws-european-sovereign-cloud-is-now-available/) — 2026-04-23 [AWS — European Sovereign Cloud EUR 7.8 bn investment](https://aws.amazon.com/blogs/security/aws-european-sovereign-cloud-investment/) — 2026-04-23 [Gaia-X overview](https://gaia-x.eu/) — 2026-04-23 [Microsoft — sovereign-cloud enhancements](https://www.microsoft.com/en-us/industry/blog/sovereignty/) — 2026-04-23 [Microsoft — Denmark East launch](https://azure.microsoft.com/en-us/updates/) — 2026-04-23 [Google Cloud — Sovereign Cloud page](https://cloud.google.com/security/compliance/sovereign-cloud) — 2026-04-23 [Eurostat — 20% of EU enterprises use AI 2025](https://ec.europa.eu/eurostat/web/products-eurostat-news/w/ddn-20251211-2) — 2026-04-23 [Eurostat — 52.7% of EU enterprises used paid cloud in 2025](https://ec.europa.eu/eurostat/web/products-eurostat-news/w/ddn-20260203-1) — 2026-04-23 [Eurostat — Cloud computing statistics explained](https://ec.europa.eu/eurostat/statistics-explained/index.php?title=Cloud_computing_-_statistics_on_the_use_by_enterprises) — 2026-04-23 [Synergy Research Group — European cloud providers' share at 15%](https://www.srgresearch.com/articles/european-cloud-providers-local-market-share-now-holds-steady-at-15) — 2026-04-23 [McKinsey — The State of AI 2025](https://www.mckinsey.com/capabilities/quantumblack/our-insights/the-state-of-ai) — 2026-06-26 [IBM — Global AI Adoption Index 2024](https://newsroom.ibm.com/2024-01-10-Data-Suggests-Growth-in-Enterprise-Adoption-of-AI-is-Due-to-Widespread-Deployment-by-Early-Adopters) — 2026-06-26 [KPMG — AI Quarterly Pulse Survey Q1 2026](https://kpmg.com/us/en/articles/2025/ai-quarterly-pulse-survey.html) — 2026-06-26 [BCG — Maximizing the Potential of Generative AI (10/20/70 rule)](https://www.bcg.com/publications/2023/maximizing-the-potential-of-generative-ai) — 2026-06-26 [Google Cloud — ROI of AI 2025 report](https://cloud.google.com/transform/roi-of-ai-2025-report) — 2026-06-26 [Stanford HAI — AI Index Report 2025](https://hai.stanford.edu/ai-index/2025-ai-index-report) — 2026-06-26 [NIST — AI Risk Management Framework (AI RMF 1.0)](https://www.nist.gov/itl/ai-risk-management-framework) — 2026-06-26 [NIST — Generative AI Profile (NIST AI 600-1)](https://nvlpubs.nist.gov/nistpubs/ai/NIST.AI.600-1.pdf) — 2026-06-26 [ISO/IEC 42001 — AI management system standard](https://www.iso.org/standard/81230.html) — 2026-06-26 [OWASP — Top 10 for LLM Applications 2025](https://genai.owasp.org/llm-top-10/) — 2026-06-26 [Amazon Bedrock — official product page](https://aws.amazon.com/bedrock/) — 2026-06-26 [Anthropic — Claude for Enterprise](https://www.anthropic.com/enterprise) — 2026-06-26 [OpenAI — ChatGPT Enterprise](https://openai.com/chatgpt/enterprise/) — 2026-06-26 [Databricks — Mosaic AI](https://www.databricks.com/product/mosaic-ai) — 2026-06-26 [Snowflake — Cortex AI](https://www.snowflake.com/en/data-cloud/cortex/) — 2026-06-26 [IBM — watsonx](https://www.ibm.com/watsonx) — 2026-06-26 [IETF — SCIM (RFC 7644)](https://www.rfc-editor.org/rfc/rfc7644) — 2026-06-26 ## Version History 1.4 2026-06-26 Latest June 2026 deep update. Added new chapter on enterprise AI adoption, spend, and governance context (McKinsey 78% adoption, IBM 42% deployment, Eurostat 20% EU enterprise AI, KPMG USD 207M average spend, BCG 10/20/70 rule, Google Cloud 74% ROI in 12 months). Added enterprise AI platform landscape table covering 13 platforms (Bedrock, Foundry, Vertex AI, Claude Enterprise, ChatGPT Enterprise, Mosaic AI, Cortex, watsonx, Agentforce, ServiceNow, SAP Joule, Oracle Agent Studio, Palantir AIP). Added governance frameworks table (NIST AI RMF, NIST Gen AI Profile, ISO/IEC 42001, OWASP LLM Top 10, CSA CCM, SOC2/ISO27001, SAML/SCIM). 9 new quotable stat callouts, 15 new FAQ entries, extended glossary (17 terms), formal How to Cite chapter. 1.3 2026-06-26 Q2 2026 freshness review. Added Q2 2026 Update callout (AI Act high-risk applicability 2 Aug 2026, Stanford HAI AI Index 2025 US/China/EU model-production gap, sustained Eurostat 20% enterprise AI adoption baseline). Added two FAQs on the 2 Aug 2026 AI Act milestone and the US/EU/China compute-output gap. Visible Last reviewed: 26 June 2026 badge. Underlying scoreboard (32 indicators), region counts, FLAP-D capacity, and EuroHPC totals unchanged — next data refresh scheduled September 2026. 1.2 2026-04-23 Added citation-ready evidence table, research-question table, and 2026-2028 compute-portfolio decision rule to improve reuse by analysts, journalists, and infrastructure buyers. 1.1 2026-04-23 Content enrichment: expanded to 20 key findings (added enterprise cloud adoption, Cloud Run GPUs, Vertex AI region restrictions, MareNostrum/LEONARDO AI upgrades, DORA designation, EED reporting, Cushman & Wakefield primary/secondary classification). Added GpuAsymmetryChart and per-region GPU/AI-platform table. New chapters: Country Compute Snapshots (12 member states) and Energy & Power constraints. FAQ expanded to 14 questions covering Sovereign Cloud, Vertex AI, Data Act, AI Factory hosts, FLAP-D market. 1.0 2026-04-23 Initial publication. 32 indicators, 80+ verified sources. Provider-by-provider region maps (AWS, Azure, GCP). EuroHPC, sovereign-cloud, and regulatory comparisons. 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