Introducing KitOps, bridging DevOps and MLOps for seamless AI model deployment and management.
AI/ML is a wildfire trend. It’s being integrated into just about every application you can think of. Compared to other technical innovations over the past years—like blockchain—infrastructure and tooling were being built in parallel with discovering a meaningful application. AI/ML, on the other hand, has seemingly jumped straight to real-world application, leaving tooling and infrastructure largely lacking in comparison to adoption.
an open source MLOps project Our goal is to standardize the packaging, reproduction, deployment, and tracking of AI/ML models. We want models to be managed with the same agility as application code. Kit streamlines the deployment process and ensures models can be executed universally with minimal friction. E.g.
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