KitOps

À Propos

KitOps is a packaging, versioning, and sharing system for AI/ML projects that uses open standards so it works with the AI/ML, development, and DevOps tools you are already using, and can be stored in your enterprise container registry. It&#039;s AI/ML platform engineering teams&#039; preferred solution for securely packaging and versioning assets.<br /> <br /> KitOps creates a ModelKit for your AI/ML project which includes everything you need to reproduce it locally or deploy it into production. You can even selectively unpack a ModelKit so different team members can save time and storage space by only grabbing what they need for a task. Because ModelKits are immutable, signable, and live in your existing container registry they&#039;re easy for organizations to track, control, and audit.<br /> <br /> ModelKits simplify the handoffs between data scientists, application developers, and SREs working with LLMs and other AI/ML models. Teams and enterprises use KitOps as a secure storage throughout the AI/ML project lifecycle.<br /> <br /> Use KitOps to speed up and de-risk all types of AI/ML projects:<br /> <br /> Predictive models<br /> Large language models<br /> Computer vision models<br /> Multi-modal models<br /> Audio models<br /> etc...