KitOps

61 posts in KitOps

How to Deploy ML Models Like Code: A Practical Guide to KitOps and Flux CD

Learn how to use Flux CD and KitOps together to create repeatable, shareable, and scalable ML deployment workflows using GitOps principles for production-ready AI/ML applications.

KitOps - 8 min read

What’s Wrong with Your Kserve Setup (and How to Fix It)

ai - 6 min read

Frequently Asked Questions: A Deep Dive into Jozu and KitOps

We had an incredible time at KubeCon India! Many attendees asked thoughtful questions about Jozu’s architecture, deployment options, and integration capabilities. In this post, we address the most common questions about on-premises deployment, security, workflows, and how KitOps compares to other tools.

ai - 5 min read

Building an End-to-End Image Classification Pipeline with KitOps & Jozu

Learn how to build an image classification model using the Satellite Image Classification dataset and package it with KitOps ModelKit for consistent deployment. We explore how proper packaging addresses common reproducibility challenges in AI/ML projects.

devops - 17 min read

Scalable ML Deployments Made Simple with KitOps and Kubernetes (No Hardware Required)

Learn how to streamline ML deployments using KitOps and Kubernetes. This comprehensive guide walks through packaging models into portable ModelKits and deploying them to Kubernetes clusters for scalable production environments.

MLOps - 10 min read

From Hugging Face to Production: Deploying Segment Anything (SAM) with Jozu’s Model Import Feature

Learn how to deploy Meta’s Segment Anything Model (SAM) from Hugging Face to production using Jozu’s MLOps platform. Complete guide covers importing SAM, local testing with kit-cli, and Kubernetes deployment with step-by-step instructions and code examples.