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.
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.
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.
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
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
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
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
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
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
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
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
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
Yorizon supports universities and research institutions with open, European cloud and GPU infrastructure for data-intensive research and AI workloads.
European GPU infrastructure for AI and research workloads.
Open research infrastructure instead of proprietary platform dependencies.
Project clusters in minutes instead of months - and shut them down after the project ends.
European GPU infrastructure for AI and research workloads.
Open research infrastructure instead of proprietary platform dependencies.
Project clusters in minutes instead of months - and shut them down after the project ends.
European GPU infrastructure for AI and research workloads.
Open research infrastructure instead of proprietary platform dependencies.
Project clusters in minutes instead of months - and shut them down after the project ends.
Public Sector
Research groups train models for NLP, chemoinformatics or genomics
GPU cluster (NVIDIA B200, NVIDIA B300, AMD MI350X), AI Workbench, Kubernetes, encrypted object storage
Maximum computing power, EU data storage, no Cloud Act risk
Research groups train models for NLP, chemoinformatics or genomics
GPU cluster (NVIDIA B200, NVIDIA B300, AMD MI350X), AI Workbench, Kubernetes, encrypted object storage
Maximum computing power, EU data storage, no Cloud Act risk
Collaborative research between university, Fraunhofer, and SMEs with sensitive data
White-label portal with multi-tenant access on OpenStack/SCS
Secure resource sharing, audit logging, API access, integration into Gaia-X data spaces
Collaborative research between university, Fraunhofer, and SMEs with sensitive data
White-label portal with multi-tenant access on OpenStack/SCS
Secure resource sharing, audit logging, API access, integration into Gaia-X data spaces
Short-term HPC performance for numerical simulations
IaaS with Terraform cluster provisioning and high-speed storage
Pay-per-use, no investment in dedicated HPC hardware, fully EU-based
Short-term HPC performance for numerical simulations
IaaS with Terraform cluster provisioning and high-speed storage
Pay-per-use, no investment in dedicated HPC hardware, fully EU-based
Provision of large public datasets (climate, genomics, mobility)
S3-compatible object storage, open data APIs, AI-based search
Complies with FAIR principles (Findable, Accessible, Interoperable, Reusable) and EU data space requirements
Provision of large public datasets (climate, genomics, mobility)
S3-compatible object storage, open data APIs, AI-based search
Complies with FAIR principles (Findable, Accessible, Interoperable, Reusable) and EU data space requirements
Analysis of environmental, energy and climate data for the EU's ESG goals
AI workbench, GPU clusters, IoT and sensor datasets from public sources
Research with CO2-neutral IT infrastructure - ideal for grant applications and EU reports
Analysis of environmental, energy and climate data for the EU's ESG goals
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 & Regulatorik
BSI IT Baseline Protection and ISO 27001 (in certification)
BSI C5 (in preparation)
VS-NfD (prospectively)
NIS2 for critical infrastructure
EU Cloud Code of Conduct and Gaia-X Policy Rules
Meets requirements of Horizon Europe, Digital Europe, BMBF and DFG. Open source (SCS), EU hosting and sustainable infrastructure are mandatory in most programs.
Foundation model training, NLP, cheminformatics, genomics, climate modeling, FEM/CFD simulation. GPU clusters with NVIDIA B200, NVIDIA B300, AMD MI350X with RoCEv2 for multi-node workloads.
White-label portal with multi-tenancy enables a university or research consortium to manage its own tenants - Campus Cloud as a Service for research groups.
FAIR principles (Findable, Accessible, Interoperable, Reusable), Gaia-X compliance, open-source stack on SCS and OpenStack. Integration into Gaia-X Data Spaces possible.
