Systems
AI Infrastructure
Local inference runtime for developer productivity (Capital One - Discover)
A privacy-preserving local model runtime pattern for enterprise developer tooling.
Local inference can improve developer workflows when it is framed as a governed runtime rather than a collection of unmanaged tools.
This pattern separates local model execution from sensitive data policy, approved model distribution, prompt handling expectations, and support boundaries.
The result is a productivity path that can preserve privacy and responsiveness while still giving security and platform teams a clear operating model.