machinelearning

32 posts in machinelearning

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 - 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.

ai - 6 min read

How to Generate an AI SBOM, and What Tools to Use

AI SBOMs are critical for tracking dependencies, securing AI models, and preventing supply chain attacks. These are the best tools to simplify the process.

devops - 6 min read

Jozu Hub–Your private, on-prem Hugging Face registry

A practical guide to managing Hugging Face models with KitOps and Jozu Hub for improved workflow security and deployment.