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You don't need to spend a fortune on a GPU to run LLMs in Ollama
By Richard Devine published
AI If you're looking at your PC and wondering what sort of GPU you might need to power local LLMs, the good news is it doesn't have to be as expensive as you think. Allow me to explain.

Why an older GPU might crush a newer one for AI
By Richard Devine published
AI If you're running LLMs locally on your PC using Ollama there's one key hardware spec you need to take into consideration. If not, your performance will tank.

How to run AI LLMs locally on your PC with Ollama
By Richard Devine last updated
AI If you want to install and use an AI LLM locally on your PC, one of the easiest ways to do it is with Ollama. Here's how to get up and rolling.

I tried to replicate this Copilot feature with local AI, but it's just not the same
By Richard Devine published
AI Using Copilot to summarize web articles is one of my favorite features. I tried to replicate it using an on-device AI model and it just isn't the same.

Why you NEED to use LM Studio over Ollama for local AI if you use AMD or Intel integrated graphics
By Richard Devine published
AI I've been playing with Ollama a lot recently, but it lacks in one key area that has sent me back over to trying LM Studio, with great success, and no need for dedicated GPU.

We gave AI a kid’s exam. It tried its best.
By Richard Devine published
AI OpenAI has finally released some AI models folks can use at home on their local machines, so I decided to see if it was better at a test designed for children than my own kid.

AI on a 7‑year‑old laptop. Because why not.
By Richard Devine published
AI While most of my local AI work takes place on a fairly well-equipped desktop PC, I was curious to see what mileage I could get from an old laptop I have lying around, and it surprised me.

Even With a Beastly GPU, Ollama Can Lag — Here’s What You’re Missing
By Richard Devine published
AI Ollama is one of the easiest ways to integrate localized AI LLMs into your daily workflow, but you might be leaving performance on the table by making one crucial mistake, like I was.
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