KitOps is a packaging, versioning, and sharing system for AI/ML projects, using open standards to work seamlessly with your existing AI/ML, DevOps, and developm

KitOps is a packaging, versioning, and sharing system for AI/ML projects, using open standards to work seamlessly with your existing AI/ML, DevOps, and development tools, all stored in your enterprise container registry. KitOps generates a ModelKit for your AI/ML project, including everything needed for local reproduction or production deployment. ModelKits are immutable, signable, and live in your registry, making them easy to track, control, and audit. ModelKits simplify collaboration between data scientists, developers, and SREs by allowing selective unpacking to save time and space. Teams use KitOps for secure, efficient AI/ML project management across the lifecycle. Use KitOps for all AI/ML projects: Predictive models Large language models Computer vision models Multi-modal and audio models, etc.