A guide for CTOs and DevSecOps engineers on hardening local AI deployments. Just because it's local doesn't mean it's secure. Key Sections: 1. **Threat Vectors:** Prompt injection, model theft, training data poisoning. 2. **Network Security:** Air-gapping requirements, mTLS for inference usage. 3. *...

A code-heavy tutorial on building a 'Chat with your PDF' app that never touches the internet. Uses widely available open-source tools. Key Sections: 1. **Architecture:** Ingestion -> Embedding -> Vector Store -> Retrieval -> Generation. 2. **The Stack:** LangChain, Ollama (Llama 3), ChromaDB or pgve...

A hardware-focused tutorial on building a dedicated AI inference server using consumer components. Focus on the sweet spot of dual used RTX 3090s or a single RTX 4090. Key Sections: 1. **Component Selection:** Why VRAM is king. The concept of 'VRAM per dollar'. 2. **The Build:** Physical assembly no...

A comparative guide for developers seeking a private, free alternative to GitHub Copilot. Contrasts the polished experience of Cursor with the DIY flexibility of VS Code + Continue. Key Sections: 1. **The Privacy Imperative:** Why send code to the cloud if you don't have to? 2. **Setup Guide:** Conf...

A technical migration guide for teams outgrowing Ollama's developer-friendly experience and needing vLLM's production throughput. Key Sections: 1. **When to Migrate:** Identifying bottlenecks (concurrency, latency spikes). 2. **Architecture Comparison:** Ollama's monolithic approach vs vLLM's PagedA...

A comprehensive pillar guide on architecting, deploying, and managing local Large Language Models (LLMs) for enterprise and production use cases in 2026. This article must move beyond 'how to install Ollama' and cover the full stack: hardware selection (H100 vs A100 vs RTX 4090 clusters), inference ...

Build your own private Copilot alternative that runs entirely locally. Zero subscription fees, complete privacy, and surprisingly good code completion. Continue reading Local AI Coding Assistant: Complete VS Code + Ollama + Continue Setup on SitePoint.

Ollama is perfect for local development, but when your team grows past 3 concurrent users, performance drops dramatically. This guide shows you exactly when to migrate to vLLM and how to do it without downtime. Continue reading From Ollama to vLLM: A Migration Guide for Growing Teams on SitePoint.

Compare the top local LLM models for developers in 2026. Includes benchmark performance, use cases, and recommendations for different hardware setups. Continue reading Best Local LLM Models for Developers in 2026 on SitePoint.

A comprehensive guide to running local large language models in 2026. Learn about Ollama, LM Studio, and other tools for privacy-focused AI development on your own hardware. Continue reading How to Run Local LLMs in 2026: The Complete Developer's Guide on SitePoint.

Master Ollama in 2026 with this professional setup guide. Configure models, optimize performance, and integrate with your development workflow. Continue reading Ollama Setup Guide: Run Local LLMs Like a Pro in 2026 on SitePoint.

Understanding model quantization is crucial for running LLMs locally. We break down the math, trade-offs, and help you choose the right format for your hardware. Continue reading Quantization Explained: Q4_K_M vs AWQ vs FP16 for Local LLMs on SitePoint.

Running a reasoning model locally doesn't require a $10,000 workstation. Here's how to build a capable DeepSeek-R1 setup on a budget. Continue reading The $1,500 Local AI Setup: DeepSeek-R1 on Consumer Hardware on SitePoint.

Get maximum performance from local LLMs on your Apple Silicon Mac. Complete optimization guide for M1, M2, and M3 chips. Continue reading Running Local LLMs on Apple Silicon Mac: M1/M2/M3 Optimization Guide on SitePoint.

Build a question-answering system over your own documents using local models. Keep your data private while leveraging AI for knowledge retrieval. Continue reading Local RAG Without the Cloud: Private Document AI Setup on SitePoint.

Apple's unified memory meets NVIDIA's dedicated VRAM. We benchmark both for local LLM running to help you choose the right hardware. Continue reading Mac M3 Max vs RTX 4090: Local LLM Performance Showdown 2026 on SitePoint.

Protect your AI infrastructure with enterprise-grade security practices for local LLM deployments. Covers authentication, access control, and data isolation. Continue reading Local LLM Security Best Practices for Enterprise in 2026 on SitePoint.

Garry Tan just released gstack, a tool that lets you install his exact Claude Code skill setup with a single command. Here's how to use it and what you get. Continue reading gstack: Installing Garry Tan's Claude Code Setup in One Click on SitePoint.

Stop buying GPUs for everyone. Here's how to set up a shared local AI infrastructure that serves your entire engineering team from a single workstation. Continue reading Team Local AI: Sharing One GPU Across Multiple Developers on SitePoint.

Calculate the true cost of self-hosted LLMs in 2026. Hardware, electricity, maintenance, and comparison with API alternatives. Continue reading Self-Hosted LLM Costs: Complete 2026 Pricing Guide on SitePoint.

We benchmark three leading open-source coding models on local hardware to determine the best choice for developer productivity. Continue reading MiniMax 2.5 vs Llama 3.1 vs DeepSeek: Local Coding Model Benchmark 2026 on SitePoint.

Learn how to fine-tune local LLMs on your own data. Complete guide to LoRA, QLoRA, and full fine-tuning with open-source tools. Continue reading How to Fine-Tune Local LLMs in 2026: A Practical Guide on SitePoint.

Learn how to efficiently run multiple LLM models simultaneously on a single GPU through proper memory management and model orchestration. Continue reading Running Multiple Local Models: Memory Management Strategies on SitePoint.

Comprehensive comparison of the top AI coding assistants in 2026. Find the perfect tool for your development workflow. Continue reading AI Coding Tools Comparison 2026: Claude Code vs Cursor vs Copilot on SitePoint.

Set up an automated code review system using local LLMs. Catch bugs, security issues, and style violations before they reach production. Continue reading Self-Hosting AI Code Review: Local Models for Better Code Quality on SitePoint.

Run multiple local LLMs at once for different tasks. Guide to model orchestration, resource allocation, and multi-model architectures. Continue reading Running Multiple Local LLMs Simultaneously: Multi-Model Setup Guide on SitePoint.

Master vibe coding in 2026. Learn how to leverage AI to build faster with natural language programming and AI-agent workflows. Continue reading Vibe Coding 2026: The Complete Guide to AI-First Development on SitePoint.

Y Combinator President Garry Tan released gstack, a set of 6 AI coding skills that switch Claude Code between different roles: CEO, Engineering Manager, Release Manager, and QA Engineer. Continue reading gstack: Garry Tan's Claude Code Skill Setup for opinionated AI Coding on SitePoint.

Understanding why Claude Code rate limits hit developers at just 6% of their quota—and practical solutions to work around them. Covers the three limit types, tier differences, and optimization strategies. Continue reading Claude Code Rate Limits Explained: Why You Hit 'API Error' at 6% Usage on Site...

Build robust Claude API integrations with proper 429 error handling. Includes exponential backoff, jitter implementation, Retry-After header usage, and circuit breaker patterns. Continue reading Claude API 429 Error Handling: Production-Ready Patterns in Python on SitePoint.