
Building Agentic-Ready Infrastructure with kcp Workspaces and API Export
See how kcp workspaces and Google’s Agent Development Kit let AI agents provision and manage workloads in safely scoped, isolated Kubernetes API environments.
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See how kcp workspaces and Google’s Agent Development Kit let AI agents provision and manage workloads in safely scoped, isolated Kubernetes API environments.

See how BWI cut GPU provisioning from months to minutes with a sovereign, self-service AI infrastructure platform built on Kubermatic.

How Kubermatic and SVA helped BWI build a sovereign AI platform for defence.

See how BWI, the Bundeswehr’s digitalization partner, built a sovereign, GPU-powered AI infrastructure platform with Kubermatic — from the datacenter to the tactical edge.


Let’s discuss how organizations can leverage Kubernetes to scale AI workloads, simplify day-two operations, and ensure data sovereignty across cloud and edge environments.

Discover how to combine Envoy AI Gateway and kube-bind into a “Provider-Consumer” architecture.
Sebastian Scheele, CEO und Co-Founder von Kubermatic, spricht darüber, warum der Engpass bei KI-Projekten nicht die Technologie ist, sondern Betrieb, Security-Basics und Disziplin.


The MELLODDY project successfully used federated machine learning to train ML and AI models for pharmaceutical companies.

Discover how MELLODDY leveraged federated machine learning to revolutionize drug discovery using AI and ML predictive models.

Follow Mario in this session, creating your own fine-tuning of an LLM with Kubeflow and taking LocalAI for a spin inside our cluster to use this very model as a base.