Manage AI settings in enterprise environments
Learn how to centrally manage AI settings in VS Code for enterprise environments, including agent mode, MCP servers, and tool

Learn how to centrally manage AI settings in VS Code for enterprise environments, including agent mode, MCP servers, and tool
This post walks you through how to install and run Azure AI Foundry Local on Windows Server 2025 either on
Code Search: Search through all of your repositories across all branches and all code hosts Deep Search: Ask natural language
AI Models deployment on GPU servers explained for 2026 — 5-step guide covering environment setup, training,
Setting up your private local AI server involves configuring Docker containers preloaded with Ollama and Open WebUI.
Learn how to run a large language model (LLM) locally, including GPU requirements, multiuser scaling tools and
AI model deployment fundamentals Deploying AI models has fundamentally changed since the early days of AI app
How to build your own local AI server in 2026. Step-by-step hardware and software guide covering GPU VRAM,
Furthermore, once everything is setup, it is very easy to install additional models as well as to configure existing AI
This guide provides comprehensive insights into configuring local deployments of artificial intelligence systems
This repository documents the build, configuration, and optimization of a hybrid AI workstation — combining local
Learn how to self-host AI models for better data control and lower costs. Covers hardware requirements, open-source
A comprehensive guide to building fully open-source, local, and capable AI systems with
Introduction In an era where AI capabilities are increasingly centralized in cloud services,
Discover how to set up your private AI server at home with Ollama and OpenWebUI! 🚀 How to install and configure an
Complete Guide to Self-Hosting AI Models Locally on Your Hardware Learn how to self-host AI models on Windows,
Image by Author # Introduction Building your own local AI hub gives you the freedom to automate tasks, process private data, and
Here''s everything you need to run AI models locally in 2025. TL;DR: Local AI deployment
Quickstart LocalAI is a free, open-source alternative to OpenAI (Anthropic, etc.), functioning
Build your ideal local AI server with our comprehensive guide. Discover essential tips and specs for a successful
Build a production-ready local development environment for AI applications using Docker, Kubernetes, and GPU
This tutorial provides a way to quickly try Red Hat AI Inference Server and learn the deployment workflow. This is not
Run LLMs on local hardware for privacy, lower costs, and faster inference—this guide
Learn how to configure AI Assistant to use locally hosted models or models from third-party
Explore the essential steps for building, deploying, and monitoring AI models for local
Our photonic engineering team can help you select the right connector or splitter for your network.