Skip to main content
Connic
Back to BlogIndustry Insights

EU AI Gigafactories: What the €30B Plan Means for Enterprise AI

The EU opened procurement for up to seven AI Gigafactories. The €30B plan may expand EU compute, while pricing, access, and timing remain open.

August 14, 202610 min readAuthor: Connic Research Team

On 30 July 2026, the EU opened formal procurement for up to seven AI Gigafactories, large-scale facilities designed for the full model lifecycle from development through large-scale inference. The plan combines up to €10 billion in EU and national support with at least €20 billion in expected private investment. Award decisions are expected in early 2027, with deployable capacity to follow. Read the Commission's 2026 announcement for the published funding split.

The procurement is still open
EuroHPC publishes the call as EUROHPC-2026-CEI-AIGF-01. The Funding and Tenders Portal lists procurement procedure EUROHPC/2026/OP/0008. This is a single-stage open procedure that closes on 12 November 2026 at 16:00 in Luxembourg (CET). Verify the procedure in the Funding and Tenders Portal and check the live EuroHPC call status.

What did the EU formally open for AI Gigafactories?

The call selects consortia that will establish and operate the facilities. EuroHPC and 18 participating Member States will jointly procure compute access time from the selected operators, giving the projects an anchor customer before construction. The call covers two consecutive development phases and two lots.

A Gigafactory can occupy one site, several sites inside one Member State, or a distributed cross-border deployment. The seven-project ceiling is separate from the number of physical locations because one selected project may span several sites. Consortia and special-purpose vehicles may apply, bringing together companies, public entities, investors and other partners. Open the official Funding and Tenders Portal entry to review the procurement documents.

LotMaximum projectsMaximum EU support per projectPhase-two accelerator scale
Lot 1Up to 4€100M in phase one, plus up to €400M in phase twoAt least 75,000 H100-equivalent advanced AI accelerators (about 3× the current JUPITER benchmark)
Lot 2Up to 3€200M in phase one, plus up to €800M in phase twoAt least 100,000 H100-equivalent advanced AI accelerators (about 4× the current JUPITER benchmark)

Source: review the lot and capacity figures in the 2026 tender specifications.

What the €30B headline includes
At the full lot ceilings, EU support adds up to €5 billion. Participating Member States must at least match EU funding, bringing possible public support to €10 billion. The Commission expects the initiative to attract at least €20 billion in private investment. The consortia fund the remaining capital investment and operating expenditure. The entire €4 billion indicative phase-two EU envelope is contingent on the 2028-2034 multiannual financial framework, related funding programmes, annual appropriations and available funds. Matching national amounts also depend on later participating-state commitments. The full public ceiling is therefore not committed today. Read the binding tender specifications for the phase and service details and read Regulation (EU) 2026/150 to verify the financing and access-time rules.

What will an EU AI Gigafactory contain?

Regulation (EU) 2026/150 defines a Gigafactory as infrastructure for the complete lifecycle of very large models and applications, from development to large-scale inference. That includes compute, storage, networking, secure cloud access and specialised AI support, backed by sustainable energy and water systems.

AI compute and software
Advanced AI processors and software stacks for model development, training, fine-tuning and large-scale inference.
Storage and high-speed networks
High-capacity storage and networking inside each facility, with very high-speed, high-bandwidth links where a project spans multiple sites.
Secure cloud access
Dedicated secure cloud environments and specialised support services, so users can consume compute without operating the physical facility.
Power, water and circularity
Adequate power capacity plus energy efficiency, water efficiency and circularity requirements in facility design and operation.

The tender specifications divide the service into three layers: managed infrastructure, a managed AI and MLOps platform, and ready-to-use model or application APIs with trust and compliance services. The third layer is aimed particularly at SMEs and public administrations. H100-equivalent is a normalised capacity measure in the tender, not a requirement to buy a specific NVIDIA model.

Europe's 19 AI Factories are operational around EuroHPC systems, compute access and technical support. The Gigafactories add a larger tier for frontier-scale work. Existing AI Factory access remains the practical route today: as of August 2026, AI SMEs and start-ups can use the Industrial Innovation track free of charge, while other industrial users can buy commercial access. Check the current AI Factory access modes before waiting for Gigafactory awards.

Who are the AI Gigafactories intended to serve?

The bidders are infrastructure consortia

Applicants need the financing, data-centre capacity, power, technical plan and operating model to build one of Europe's largest AI facilities. The coordinator must be incorporated, headquartered and controlled in the EU, and each hosting entity must sit in an EU Member State. Evaluation covers technical quality, security, sustainability, ecosystem impact and financial viability.

The users are broader than the bidders

The Commission names start-ups, scale-ups, SMEs, industry, academia and public authorities as intended users of training, fine-tuning and inference capacity. Public funding buys a proportional share of access time. Under the regulation, Union access is free for public-law entities, qualifying EU-funded research and innovation work, and private innovation by SMEs and scale-ups. Larger enterprises may use the facilities, but their commercial prices, quotas and service terms have not been published.

Governance is the sovereignty mechanism
EU law governs hosting agreements, with host-state law covering matters outside its scope. Core Gigafactory operations and operational data must remain under EU technical and legal accountability. The Public Governance Body must approve sensitive third-country access agreements and major changes in ownership, critical-asset location or strategic purpose. Anchor customers, including global service providers, may still control partitioned capacity and value-added services that do not inherit the facility's overall sovereignty or data-residency conditions. Enterprise buyers must verify the boundary of the service they procure.

The hardware supply remains global. Suppliers may come from Europe or like-minded countries, and the Commission has signed letters of intent with AMD, NVIDIA and Qualcomm. Those letters are not supply contracts. EU-governed infrastructure describes control, jurisdiction and access; it does not require an all-European component stack.

When could AI Gigafactory capacity become available?

The call closes on 12 November 2026, and EuroHPC expects award decisions in early 2027. Framework and specific contracts would follow, allowing construction to begin during 2027. Selected facilities then have a maximum of 18 months after contract signature to start operating. Signature dates remain unknown, leaving enterprise availability without an exact date.

30 July 2026
The call opened.
12 November 2026
Tenders close at 16:00 CET.
Early 2027
Award decisions are expected.
Within 18 months
Operations are expected after contract signature.

What changes for enterprise AI teams?

The procurement creates a European capacity pipeline backed by public anchor demand. That demand arrives before the facilities exist and reduces part of the financing risk for operators. Most deployment teams will use models, inference services and fine-tuning products built on the resulting capacity; direct supercomputer allocations will be less relevant to them.

EU inference capacity
The formal scope includes large-scale inference. New European capacity could widen the set of production endpoints available to agent teams once operators publish services.
Model choice
Frontier training and fine-tuning inside the EU could produce new models and deployment paths. Model quality, licences and release terms will still decide whether those options fit a workload.
Procurement terms
EU-controlled coordinators, EU-hosted facilities and public oversight give buyers specific governance terms to evaluate instead of relying on a region label alone. Those conditions govern the Gigafactory core; they do not automatically cover every partner-operated endpoint or partitioned workload.
Application and agent layer
Enterprises still need application and agent infrastructure around the compute. Runtimes, testing, traces, approvals and governance remain separate engineering and operating concerns.

Which enterprise questions remain open?

The procurement sets facility scale and governance. It leaves the service surface to the selected projects and later access rules. Enterprise teams still need answers on model catalogues, API interfaces, fine-tuning workflows, regional availability, pricing, quotas, support and service-level agreements.

AI Act duties depend on an organisation's role and the system's use and risk classification; GDPR duties depend on the personal-data processing and the controller-processor relationships involved. An EU-hosted endpoint answers only part of either analysis. Map where prompts, traces and retrieval data are processed, and review every configured provider, tool, guardrail, judge and external destination together with the contracts governing third parties. Map every data plane before calling an agent stack EU-resident.

Interfaces
Which inference APIs, model formats and fine-tuning tools will operators expose?
Commercial terms
Who can buy capacity, at what price, under which quota and service level?
Complete data path
Where will request content, logs, support access, backups and subprocessors sit?
Exit and portability
Can a team move models, evaluation data and production traffic to another operator without rebuilding its agent layer?

We want Connic agents running on European infrastructure

We are excited that the formal Gigafactory definition includes inference and services deployment. The procurement focuses on compute; Connic focuses on the agent layer that turns model calls into production workflows. Connic is based in Munich and contracts through a German entity. Projects can use an EU deployment region, and every connic/* model request runs on EU inference capacity.

Teams can connect an OpenAI-compatible endpoint under a Project provider prefix. Connic's tool, trace and approval plumbing remains available when the endpoint changes. Update the model configuration where needed and rerun tests because model capabilities and behaviour can differ. If selected Gigafactory operators expose compatible production services, that is the kind of European capacity we want Connic agents to use.

This article does not announce a Connic bid, award or integration with the Gigafactory programme. Our ambition is to help make new EU-native model and compute options usable as governed AI agents, close to European data and operational requirements. Review the current boundary of Connic's code-first European agent platform and learn how to connect a custom inference endpoint.

Plan an EU-native agent stack

Map the model, runtime, tools, traces and external destinations before new European compute capacity arrives.

Discuss EU deployment

What can enterprise AI teams do now?

Keep the model endpoint replaceable
Put model selection behind configuration and rerun the same tests when a new European provider becomes available.
Map the complete processing path
Record where model calls, traces, retrieval data, tools, backups and support access go. Compute location is one row in that inventory.
Write the procurement checklist now
Ask future operators for jurisdiction, ownership, subprocessors, security attestations, API compatibility, prices, quotas, service levels and exit terms.
Track the award details
The early-2027 decisions should identify operators and projects. Service interfaces, commercial access and production dates are the details that turn a policy plan into a deployable option.

Frequently Asked Questions

Under Regulation (EU) 2026/150, an AI Gigafactory is a large-scale facility that supports the full lifecycle of very large AI models and applications, from development through large-scale inference. It combines AI-optimised compute, data-centre infrastructure, high-capacity storage and networking, secure cloud access, specialised support services, and sustainable energy and water infrastructure.

The procurement can select up to seven Gigafactory projects across two lots. Fewer may be selected, and a project may use one site, several sites inside one Member State, or a distributed cross-border design. The number seven refers to projects rather than physical data-centre sites.

The €30 billion headline combines funding sources. EU support can reach up to €5 billion under the lot ceilings, participating Member States must at least match that support, and the Commission expects at least €20 billion in private investment. €4 billion of the EU ceiling is indicative phase-two funding contingent on the 2028-2034 multiannual financial framework and related programmes. The plan is a phased public-private investment envelope.

The call closes on 12 November 2026, awards are expected in early 2027, and construction is expected to begin in 2027. Selected projects are expected to start operations within a maximum of 18 months after contract signature. Contract dates and enterprise service launch dates have not been published.

Free Union access time is limited to public-law entities, specified EU-funded research and innovation users, and private innovation by SMEs and scale-ups. The facilities are also intended to serve wider industry, but commercial prices, quotas and service terms for larger enterprises remain open.

EU-governed compute provides an infrastructure and jurisdictional boundary, while compliance still depends on the complete deployed system. The model endpoint, runtime, logs, retrieval data, tools, guardrails, judges, external destinations, contracts, and the AI system's use and risk classification all remain relevant.

This article does not announce a Connic bid, award or integration with the programme. We are excited by the direction and aim to make European models and inference capacity usable as governed production agents. Today, Projects can select an EU data region and use connic/* models on EU inference capacity, or connect a custom OpenAI-compatible endpoint. End-to-end EU residency still depends on every configured provider, tool, guardrail, judge and external destination.

Methodology and disclosure

Connic publishes this analysis and has a commercial interest in European AI agent infrastructure. Procurement facts were checked on 14 August 2026 against the Commission announcement, the Funding and Tenders Portal and binding tender specifications, the live EuroHPC call, and Regulation (EU) 2026/150. Expected early-2027 award decisions should identify operators and projects; locations and service plans may remain open. Check the live EuroHPC call before relying on the status or deadline.

More from the Blog

Industry Insights

EU-Hosted AI Models in 2026: Providers, Dependence & Options

Compare EU-hosted AI models by location, retention, operator, portability, legal exposure, and deployment model, using a 2026 Commission-requested study.

August 18, 202611 min read
Industry Insights

EU AI Act Article 50: What Your AI Agent Must Disclose

The Commission adopted its final Article 50 guidelines on 20 July 2026, thirteen days before the rules apply. Here is what agent teams have to disclose, and when.

July 26, 202610 min read
Industry Insights

The OpenAI Hugging Face Hack: Guardrail Lessons for AI Agents

OpenAI models escaped a test sandbox and breached Hugging Face in July 2026. What the incident reveals about guardrails and how to secure production AI agents.

July 24, 20269 min read
Industry Insights

Soofi S Preview: Access, Benchmarks & AI Agent Fit

Soofi S is a gated preview of Germany's 31.6B open-model project. Its benchmarks, release status, limits, and potential for self-hosted AI agents.

July 15, 20269 min read
Industry Insights

Webhook vs Kafka vs SQS vs Postgres for AI Agent Triggers

Compare webhook, Kafka, SQS, and Postgres LISTEN/NOTIFY as AI agent triggers by delivery guarantees, ordering, replay, latency, and failure behavior.

June 29, 20269 min read
Industry Insights

The Real Cost of Assembling Your Own AI Agent Stack

The real cost of assembling your own AI agent stack comes from the integration and maintenance tax between tools. Learn when buying a platform wins.

June 9, 202610 min read
Industry Insights

How to Run AI Agents in the EU Without US Hyperscalers

Run production AI agents in the EU without US hyperscalers: what EU-hosted must really mean, where the US CLOUD Act exposes you, and a sovereignty checklist.

June 4, 20269 min read
Industry Insights

Best AI Agent Platforms for EU Enterprises in 2026

Ranked shortlist of AI agent platforms evaluated on EU data residency, self-hosting, MCP tool support, BYOK, EU AI Act readiness, and SLA terms. Updated July 2026.

May 19, 202616 min read
Industry Insights

AI Agent TCO at 50K Runs: Connic vs Build, Self-Host, or Buy

At 50,000 monthly runs, Connic cuts modeled full-stack AI agent TCO by 38–47% versus buying and integrating services or building and self-hosting.

May 16, 202614 min read