Stefan Schimanski

Stefan is a principal engineer at NVIDIA, working on inference, Kubernetes, and kcp, and serving as a tech lead for Kubernetes SIG API Machinery. He made major contributions to the custom resource definition (CRD) feature set and enjoys teaching and helping others learn. Before joining NVIDIA, he worked at Upbound on Crossplane-based control planes and at Red Hat as an architectural lead for kcp and an API server lead. Stefan is a mathematician and computer scientist with a Ph.D. in mathematical logic.
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Posts by Stefan Schimanski

Data Center / Cloud Oct 30, 2026

Build a Validated Kubernetes Runtime for NVIDIA Dynamo

Teams building AI applications need a repeatable path from a model configuration to a working inference endpoint. NVIDIA Dynamo is a distributed inference... 14 MIN READ