Local AI
Open WebUI Deep Dive: Users, Models, Documents, Prompts, and Safe Sharing
A noob-friendly tour of Open WebUI after installation: user accounts, model switching, documents, prompt shortcuts, admin settings, OpenAI-compatible endpoints, backups, updates, reverse proxy basics, and LAN/VPN security.
Local AI Hardware Sizing: CPU, NPU, GPU, RAM, and VRAM
A local AI hardware sizing guide explaining model memory, quantization, KV cache, CPU-only use, NPUs, GPUs, RAM, VRAM, and upgrade tiers.
Building the Right PC for Local AI
A plain-English guide to choosing the right CPU, RAM, GPU, VRAM, storage, power supply, and cooling for a local AI homelab PC.
Home AI Hardware Levels: A Beginner's Guide to the PC You Need
A plain-English guide to choosing hardware for a home AI setup, from using an old PC to building a serious GPU workstation.
Local AI Models Explained: Gemma, Llama, Qwen, Nemotron, Phi, DeepSeek, and More
A noob-friendly guide to local AI model families, model size, VRAM, quantization, RAG, coding models, vision models, and how to choose what to run at home.
Choosing the Right Local AI Model: Gemma, Qwen, Llama, Mistral, DeepSeek, Nemotron
New to local AI? This beginner-friendly guide explains how to choose between popular open-weight model families like Gemma, Qwen, Llama, Mistral, DeepSeek, and Nemotron for your homelab.
Local AI Is Finally Useful: What Should You Run First?
A practical local AI starter guide for Ollama, LM Studio, Open WebUI, embeddings, structured output, private notes, and first useful workflows.
Try Local AI Before You Buy Hardware: A Beginner Gemma and Ollama Guide
A noob-friendly, step-by-step guide to trying Google's Gemma AI models on your current PC with Ollama before spending money on new hardware.
Local AI Homelab: Hardware for Ollama, Open WebUI, and Small Agents
A practical local AI homelab hardware guide for Ollama, Open WebUI, GPUs, CPU-only experiments, VRAM sizing, and safe small agents.
NVIDIA vs Intel Arc for Ollama and Local AI Workloads
Check exact NVIDIA and Intel Arc support, memory fit, drivers, and GPU placement before buying hardware for Ollama, llama.cpp, or LM Studio.