Industries

For regulated industries, where your AI runs is part of the compliance story.

Life science, finance, the public sector and energy don't get to be vague about their data. HuneX gives compliance-heavy teams GPU capacity for inference and fine-tuning - hosted on Danish soil, under Danish and EU jurisdiction, GDPR by design.

See pricing See available GPUs
<5% of the world's AI compute sits in Europe today
~70% of GPU cloud spend heads to inference by end of 2026
Aug 2 EU AI Act Article 50 transparency rules apply from 2026
0 US CLOUD Act exposure - no foreign parent company

The common thread

When the data is sensitive, the jurisdiction is the product.

Across life science, finance, the public sector and energy, the hard part of adopting AI usually isn't the model. It's proving where the data went - and being able to put that answer in writing for an auditor, a board, or a procurement questionnaire.

A US-owned cloud can be compelled to hand over data under the American CLOUD Act, regardless of where the servers physically sit. At the same time, EU rules increasingly ask you to document exactly where and how your AI workloads run. HuneX answers both with a single, verifiable fact: your data stays on Danish soil, under Danish and EU jurisdiction.

// REGULATORY DRIVERS
GDPR Art. 9 Special-category data - health, genetic and biometric - carries the strictest handling rules.
EU AI Act 50 Transparency and labelling obligations for AI systems apply from 2 August 2026.
DORA Financial entities must manage and register their ICT third parties - in force since Jan 2025.
NIS2 Security duties for essential entities in energy, health and public administration, now in national law.
US CLOUD Act The extraterritorial reach you're designing around - avoided by not using a US-owned provider.

WHERE WE FIT

Four sectors where Danish hosting is a real argument,
not just marketing.

These are the industries where Denmark and the EU already have a compliance-driven need - and, in several cases,
a genuine strength position - for sovereign AI compute.

Life Science & Biotech

Denmark's strongest AI-compute story so far grew out of life science - Gefion exists largely because of it. But research-grant supercomputing isn't built for a biotech that needs self-service capacity today.

Regulatory driver
GDPR Art. 9 - special-category data
Typical workloads
Inference on protein and molecular models, fine-tuning on proprietary trial or omics data, secure embedding of patient records - none of it leaving EU jurisdiction.
The Danish edge
A national research base and a data-protection culture that treats health and genetic data as special category by default.

Financial Services

Banks, insurers and fintechs are now formally accountable for their ICT supply chain - which includes where their AI actually runs, and who could be compelled to access it.

Regulatory driver
DORA - ICT third-party risk
Typical workloads
Fraud- and risk-model inference, fine-tuning on transaction data, document and KYC processing - run with a provider you can name in your third-party register.
The Danish edge
An EU-jurisdiction provider you can audit and actually reach - without the CLOUD Act question hanging over every board review.

Public Sector

Public bodies are held to the highest bar on sovereignty - and are often the least able to justify sending citizen data to a US-owned cloud on a procurement form.

Regulatory driver
NIS2 + procurement sovereignty
Typical workloads
Citizen-service assistants, document understanding, translation and case-handling inference on public records - kept inside national jurisdiction.
The Danish edge
Danish-owned, Danish-hosted, Danish support - a straight answer to "where does this data live?" that survives legal review.

Energy & Climate

Energy operators are critical infrastructure. Their data - grid, consumption, forecasting - is both sensitive and strategically national, and increasingly in scope for EU security rules.

Regulatory driver
NIS2 - essential-entity security
Typical workloads
Demand and generation forecasting, sensor and telemetry inference, fine-tuning on operational and climate datasets.
The Danish edge
Compute that sits inside the same jurisdiction as the infrastructure it models - with a data-center footprint that belongs in the ESG conversation, not hidden from it.

WHAT YOU ACTUALLY RUN

Tuned for inference and fine-tuning -
not the training arms race.

Around 70% of GPU cloud spend is moving toward inference by the end of 2026. That's the workload profile HuneX is built for: steady, predictable, compliance-sensitive jobs. We run the hardware. You run the model.

01 · SERVE

Real-time inference

Serve production models with low-latency GPU capacity, close to your EU users and inside EU jurisdiction.

02 · ADAPT

Fine-tuning on sensitive data

Adapt open models on proprietary or regulated data that never leaves Danish soil - no round-trip through a foreign cloud.

03 · PROCESS

Batch & embedding jobs

Predictable, schedulable capacity for document processing, embeddings and evaluation runs.

Across every sector

The same three promises, whatever you're running.

The sector changes. The guarantees don't. Every workload on HuneX runs under the same commitments - and the full jurisdictional detail lives on the sovereignty page.

Danish soil & jurisdiction

Data and workloads never leave Danish and EU jurisdiction.

GDPR by design

Built in from day one, not bolted on afterwards.

Clear split of responsibility

We own the hardware and the uptime. You keep full control of your stack.

GET STARTED

Ready to see it running on your own workload?

Book a 30-minute call with our team, or get a written quote for reserved or dedicated capacity within one working day.

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