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.
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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.
Docker
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.
In This World of Influencers: Staying Ahead in the Container Space
In this world of influencers, life is not easy. The pressure to stay visible, relevant, and knowledgeable is constant.
Does Docker Model Runner Use Token Caching? A Deep Dive into llama.cpp Integration
Docker Model Runner uses llama.cpp's KV cache for automatic token caching, eliminating redundant prompt processing in local LLM deployments. Discover how this built-in optimization works.
How to use Docker Hardened Images (DHI) in Kubernetes Deployments
Designed to reduce vulnerabilities and simplify compliance, DHIs integrate easily into your existing Docker-based workflows as well as Kubernetes deployments with little to no retooling required.