Local AI: A Complete Guide to Running Language Models on Your Computer
Local AI means running a language model on hardware you control instead of sending prompts to a hosted service. This guide explains how local inference works, how…
EXPLORE THE TOPIC
Local AI & Hardware
Running local models with attention to memory, speed, and quantization tradeoffs.
16 published articlesHow Context Length Affects Local AI Memory Usage
Raising a local model's context window from 2K to 32K changed generation speed by essentially nothing in a published llama.cpp sweep, but added about 1.7 GB of…
What Quantization Changes in a Language Model (and What It Leaves Alone)
Quantization rewrites a model's weights in lower precision while leaving its architecture, tokenizer, and parameter count intact. The memory savings are predictable; the quality cost is not,…
How to Choose a Local AI Model for Your Computer
Choosing a local AI model is a hardware-fit problem before it is a model-quality problem. Define the job, find your real memory budget, estimate weights plus KV…
How to Install Ollama and Run Your First Local Model
Ollama installs with a single command on macOS, Linux, and Windows, and a first local model can be running within minutes. This guide covers prerequisites, installation per…
Why a Local AI Model Runs Slowly: A Troubleshooting Checklist
A slow local AI model is usually not one problem. Separate model loading, prompt processing, and token generation first, then check GPU offload, context length, quantization, and…
Connecting WordPress to Local AI: Architecture, Access, and Troubleshooting
Connecting WordPress to local AI means running an OpenAI-compatible inference server on hardware you control and registering it as an AI connector so the WordPress AI Client…
What Is an AI Context Window? Tokens, Limits, and Practical Workarounds
A context window is the amount of input an AI system can process at one time, measured in tokens and including the response it is generating. This…
Why WordPress Cannot Connect to a Local AI Server
When WordPress fails to reach a local Ollama or llama.cpp server, the server is usually healthy and the connector is the problem. Reported causes cluster around the…
RAM vs VRAM for Local AI: What Each One Does
When you run a local LLM, VRAM is where inference happens on the GPU, while system RAM provides capacity for loading models, CPU inference, and offloading. Both…
Connecting to Ollama from Another Device on Your Network
Ollama listens on 127.0.0.1:11434 by default, so nothing outside the host machine can reach it. Making it available to a phone, laptop, or second PC means changing…
How to Compare Local Language Models with Reproducible Tests
A reproducible local model comparison pins the model, runtime, hardware, prompt template, context settings, and sampling parameters before measuring quality, latency, memory, and failure rates. This guide…