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…
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6 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…
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…
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…
How to Record a Reproducible Local Model Benchmark
A reproducible local model benchmark is a record, not a number. It needs the exact model bytes and hashes, the runtime version, the hardware and power state,…