Kubernetes and GPU: The Complete Guide to Running AI/ML Workloads at Scale

A comprehensive deep dive into GPU orchestration in Kubernetes — from device plugins and the GPU Operator to advanced sharing strategies like MIG, MPS, and time-slicing. Learn how to schedule, monitor, and optimize GPU workloads for AI/ML at scale.

Complete Step-by-Step Tutorial: GPU-Accelerated Dental AI Training on NVIDIA Jetson AGX Thor

Robotics is at an inflection point. We're witnessing a fundamental shift from single-purpose, fixed-function robots to generalist machines that can adapt, reason, and perform diverse tasks across unpredictable environments. This transformation demands something unprecedented: the ability to run massive generative AI models—large language models (LLMs), vision language

Introducing the Penpot Docker Extension: One-Click Deployment for Self-Hosted Design

I am thrilled to share the release of the Penpot Docker Extension, a tool designed to streamline the deployment and management of a complete self-hosted Penpot instance directly within Docker Desktop.

Understanding Quantization in AI

Quantization = compressing a model by lowering the precision of numbers, making it smaller, faster, and cheaper to run, often with only a small drop in accuracy.

LLM Chat UIs That Support MCP: Your Complete Guide to Building Smarter AI Workflow

From Claude Desktop to Cursor: A complete breakdown of which AI chat interfaces support MCP—and which ones are worth your time. Because in 2025, your AI assistant should do more than just talk.

Connecting to Your NVIDIA Jetson AGX Thor via Type C cable on macOS

No monitor? No problem. Learn how a simple USB Type-C charging cable and serial console access saved a student demo at our Docker meetup.

Dynamic MCP: Teaching AI Agents to Configure Themselves

What if your AI chatbot could configure itself based on what customers ask, without developers editing config files? That's Dynamic MCP.

Running Vision Models Locally with Docker Model Runner: A Complete Tutorial

Want to add vision capabilities to your applications without sending data to external APIs? Docker Model Runner makes it straightforward to run multimodal AI models locally, giving you complete control over your data while using the familiar OpenAI-compatible API format.

Can I use Open Source AI Model with Docker Model Runner and Docker MCP Gateway?

This guide walks you through connecting models from the Docker AI Model Catalog to MCP servers, enabling your applications to leverage both local inference and external capabilities in a secure, reproducible Docker Compose environment.

5 Docker MCP Servers Every Frontend and Backend Developer Must Be Aware Of in 2025

Stop wasting hours setting up MCP servers. The Docker MCP Catalog provides 270+ enterprise-grade, containerized Model Context Protocol servers that install in seconds—no dependency hell, no environment conflicts, no cross-platform issues.

Building Production-Grade Dental AI: From Auto-Annotation to 99.5% Accuracy with YOLOv8 and NVIDIA Infrastructure

How we built, trained, and deployed a dental X-ray analysis system achieving 99.5% mAP50 accuracy using YOLOv8, Docker containers, and iterative model improvement using NVIDIA Jetson AGX Thor

Getting Started with NVIDIA Jetson AGX Thor Developer Kit: A Complete Reference Guide

If you're building robots, you're going to want to hear about this.