Forschung

Sovereign AI and GPU infrastructure for research and higher education

Yorizon offers open, European cloud and GPU infrastructure for universities, research consortia, and data-intensive AI workloads—scalable, controllable, and designed for modern research environments.

European GPU infrastructure for AI and research workloads.
Forschung

Sovereign AI and GPU infrastructure for research and higher education

Yorizon offers open, European cloud and GPU infrastructure for universities, research consortia, and data-intensive AI workloads—scalable, controllable, and designed for modern research environments.

European GPU infrastructure for AI and research workloads.

{"@context":"https://schema.org","@graph":[{"@type":"WebPage","name":"Sovereign AI Cloud for Research & Higher Education","description":"GPU clusters, AI workbench and SCS stack for university IT, research consortia and EU-funded projects - European, sustainable, eligible for funding.","publisher":{"@type":"Organization","name":"Yorizon","url":"https://yorizon.com"},"inLanguage":"en","url":"https://yorizon.com/use-cases/forschung-hochschulen"},{"@type":"FAQPage","mainEntity":[{"@type":"Question","name":"Is Yorizon suitable for research and funding projects?","acceptedAnswer":{"@type":"Answer","text":"Yorizon can support research and project environments where European data residency, open technologies, sustainability and scalable GPU infrastructure are relevant. Actual funding eligibility depends on the specific funding program and project context."}},{"@type":"Question","name":"Which HPC workloads typically run?","acceptedAnswer":{"@type":"Answer","text":"Typical workloads include AI training, NLP, simulation, genomics, data analysis and scientific HPC applications. Yorizon provides scalable GPU and compute resources for data-intensive research environments."}},{"@type":"Question","name":"How does a campus cloud structure work?","acceptedAnswer":{"@type":"Answer","text":"Multi-tenant platform structures enable universities and research alliances to build their own campus or project environments with controllable access and operating models."}},{"@type":"Question","name":"Which Open Science requirements are met?","acceptedAnswer":{"@type":"Answer","text":"Open infrastructure models based on OpenStack/SCS support transparent and interoperable research environments. This makes it easier to implement open data and research approaches than with proprietary platform models."}},{"@type":"Question","name":"How is billing handled?","acceptedAnswer":{"@type":"Answer","text":"Flexible usage models enable project-based scaling of GPU and compute resources — without long-term hardware investments or rigid capacity planning."}}]}]}

Why now

Market context

Research and science increasingly need flexible and scalable infrastructure for AI, simulation, data analysis, and HPC workloads. At the same time, the demands on European data storage, open technologies, transparency, and long-term control over research environments are rising.

Many universities and research consortia are therefore looking for open alternatives to proprietary hyperscaler platforms — especially for project-based GPU usage, sensitive research data, and European funding contexts.

01

Organizational challenges

  • Research projects require scalable GPU and compute resources at short notice

  • Universities and research consortia often work with heterogeneous and decentralized IT structures

  • Project durations and funding logics require flexible usage and billing models

  • Proprietary platforms make long-term data control and exit strategies more difficult

01

Organizational challenges

  • Research projects require scalable GPU and compute resources at short notice

  • Universities and research consortia often work with heterogeneous and decentralized IT structures

  • Project durations and funding logics require flexible usage and billing models

  • Proprietary platforms make long-term data control and exit strategies more difficult

02

Technical challenges

  • High demand for GPU resources for AI, simulation, and analytics workloads

  • Existing HPC environments often do not offer flexible cloud scaling or self-service capabilities

  • Research data and AI models require controllable and reproducible environments

  • Open-source and Kubernetes-based platform models are becoming increasingly important

02

Technical challenges

  • High demand for GPU resources for AI, simulation, and analytics workloads

  • Existing HPC environments often do not offer flexible cloud scaling or self-service capabilities

  • Research data and AI models require controllable and reproducible environments

  • Open-source and Kubernetes-based platform models are becoming increasingly important

03

Regulatory requirements

  • Research projects are subject to requirements for European data storage and traceable data processing

  • Data protection and access control are particularly relevant for sensitive or personal research data

  • Sustainability and open technologies are playing an increasingly important role in many funding and research programs

03

Regulatory requirements

  • Research projects are subject to requirements for European data storage and traceable data processing

  • Data protection and access control are particularly relevant for sensitive or personal research data

  • Sustainability and open technologies are playing an increasingly important role in many funding and research programs

How Yorizon fits here

Yorizon supports universities and research institutions with open, European cloud and GPU infrastructure for data-intensive research and AI workloads.

To the point

European GPU infrastructure for AI and research workloads.

To the point

European GPU infrastructure for AI and research workloads.

To the point

European GPU infrastructure for AI and research workloads.

Research & Education

Specific Cloud Use Cases


Training AI and LLM models on EU data
Target
SETUP

Research groups train models for NLP, chemoinformatics or genomics

VALUE ADDED

GPU cluster (NVIDIA B200, NVIDIA B300, AMD MI350X), AI Workbench, Kubernetes, encrypted object storage

Maximum computing power, EU data storage, no Cloud Act risk

Training AI and LLM models on EU data
Target
SETUP

Research groups train models for NLP, chemoinformatics or genomics

VALUE ADDED

GPU cluster (NVIDIA B200, NVIDIA B300, AMD MI350X), AI Workbench, Kubernetes, encrypted object storage

Maximum computing power, EU data storage, no Cloud Act risk

Joint research platform for EU consortia
Target
SETUP

Collaborative research between university, Fraunhofer, and SMEs with sensitive data

VALUE ADDED

White-label portal with multi-tenant access on OpenStack/SCS

Secure resource sharing, audit logging, API access, integration into Gaia-X data spaces

Joint research platform for EU consortia
Target
SETUP

Collaborative research between university, Fraunhofer, and SMEs with sensitive data

VALUE ADDED

White-label portal with multi-tenant access on OpenStack/SCS

Secure resource sharing, audit logging, API access, integration into Gaia-X data spaces

Simulation and HPC as a Service
Target
SETUP

Short-term HPC performance for numerical simulations

VALUE ADDED

IaaS with Terraform cluster provisioning and high-speed storage

Pay-per-use, no investment in dedicated HPC hardware, fully EU-based

Simulation and HPC as a Service
Target
SETUP

Short-term HPC performance for numerical simulations

VALUE ADDED

IaaS with Terraform cluster provisioning and high-speed storage

Pay-per-use, no investment in dedicated HPC hardware, fully EU-based

Open Science Data Lake
Target
SETUP

Provision of large public datasets (climate, genomics, mobility)

VALUE ADDED

S3-compatible object storage, open data APIs, AI-based search

Complies with FAIR principles (Findable, Accessible, Interoperable, Reusable) and EU data space requirements

Open Science Data Lake
Target
SETUP

Provision of large public datasets (climate, genomics, mobility)

VALUE ADDED

S3-compatible object storage, open data APIs, AI-based search

Complies with FAIR principles (Findable, Accessible, Interoperable, Reusable) and EU data space requirements

AI-powered sustainability and ESG research
Target
SETUP

Analysis of environmental, energy and climate data for the EU's ESG goals

VALUE ADDED

AI workbench, GPU clusters, IoT and sensor datasets from public sources

Research with CO2-neutral IT infrastructure - ideal for grant applications and EU reports

AI-powered sustainability and ESG research
Target
SETUP

Analysis of environmental, energy and climate data for the EU's ESG goals

VALUE ADDED

AI workbench, GPU clusters, IoT and sensor datasets from public sources

Research with CO2-neutral IT infrastructure - ideal for grant applications and EU reports

Compliance & Regulation

Compliance profile


ErfülltIn ZertifizierungPerspektivisch

FAQ