From Notebook to Production: Hands-on MLOps Workshop
Hamburg | 25.09.2025 | Learn how to build scalable, reproducible ML workflows using industry-standard open source tools.
Hamburg | 25.09.2025 | Learn how to build scalable, reproducible ML workflows using industry-standard open source tools.
prokube: the AI platform that brings Deep Learning and Gen-AI projects to production quickly and at scale – deployable anywhere, no vendor lock-in.
MLOps
prokube
prokube
Most ML projects fail to reach production. With the increasing importance of Gen-AI, this process becomes even more complex. prokube will enable your business to reduce time-to-production from 9-12 months to just a few weeks.
prokube
We offer
reliable
fast
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Deployment
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Our automated deployment adapts prokube to your enterprise environment. Whether cloud, on-premises, or hybrid – we ensure a seamless integration that meets your security and compliance needs.
Customization
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Maintenance
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Let us handle the complexity of your AI infrastructure. We maintain and optimize the complete MLOps/LLMOps toolkit, enabling your teams to focus entirely on what they do best: developing AI solutions that drive business value.
Support
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MLOps
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We built prokube because we experienced firsthand how painful it is to bring AI into production. Together with our partners we are happy to leverage our experience to assist you in implementing your AI use cases.
AI Consulting
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Our Product
prokube
prokube
prokube
Data storage solutions that scale with your needs
S3-compatible object storage for ML artifacts and datasets
Real-time data streaming capabilities for continuous inference
Robust database solutions for both structured and unstructured data
Secure enterprise login integration with your existing systems
Single-Sign-On (SSO) capabilities for seamless user experience
Comprehensive access control for sensitive data and models
Full LDAP and Active Directory integration
Reproducible infrastructure setups for consistent deployments
Adaptable to cloud, on-premise or hybrid environments
Scalable architecture that grows with your AI initiatives
Seamless integration with your existing code repositories
Support for your preferred CI/CD pipelines and workflows
Artifact registry integration for model management
Comprehensive visibility into platform and model performance
Interactive dashboards for monitoring critical metrics
Centralized logging for troubleshooting and auditing
Resource utilization tracking for cost optimization
About us
prokube
prokube
Henrik, our ML expert, is completing his PhD in ML for cyber-physical systems. His data science career includes AI development for the International Space Station, where he gained extensive experience with Kubeflow.
Martin Creutzenberg is our Kubernetes and software engineering expert. His deep dive into MLOps tools and architectures ensures that prokube is not just cutting-edge but also user-friendly, allowing seamless integration into any production environment.
With a PhD in Physics, his background includes maintaining distributed computing clusters and contributing to open-source projects, ensuring prokube is engineered for performance and scalability.
prokube