Building the Bridge Between Worlds

With my background in cloud infrastructure, software engineering, and container orchestration, I've identified a clear gap in the MLOps space. We can bring the developer experience and ease of use that modern engineering teams expect to ML operations.

European companies have invested millions in their datacenters. They also need cloud GPUs for AI/ML workloads. Moving terabytes of data is expensive and slow. We respect your European data sovereignty requirements.

That's why I'm building Nubium. An MLOps platform that bridges your datacenter with cloud providers like Exoscale, Scaleway, and Hetzner. Keep your data where it needs to be. Run compute where it makes sense. Pay only for what you use.

We're bringing modern DevOps practices to MLOps: GitOps workflows, transparent pricing, simple deployment, and GPU orchestration that just works. The same ease of use you expect from deploying a web app, but for ML workloads.

The future of European AI infrastructure isn't about choosing sides. It's about bridging worlds.