MLOps

62 posts in MLOps

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

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.

ai - 1 min read

IT Business Net–The Hidden Risk in Your AI Stack (and the Tool You Already Have to Fix It)

Study shows 60% of organizations face costly AI model rollback issues averaging $400K. Jozu CEO explains how OCI Artifacts solve production deployment risks using existing container infrastructure.

ai - 4 min read

Deploying Jozu On-Premise: Architecture & Workflow Overview

Learn how Jozu Orchestrator On-Premise enables secure, self-hosted ML model management using OCI and OIDC. Explore architecture, ModelKit workflows, and deployment best practices.

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.