While many organizations rely on public cloud services for large language models, there are compelling reasons to run these models in-house, within an organization's own data center. Organizations ...

It’s now possible to run useful models from the safety and comfort of your own computer. Here’s how. MIT Technology Review’s How To series helps you get things done. Simon Willison has a plan for the ...

Ayush Pande is a PC hardware and gaming writer. When he's not working on a new article, you can find him with his head stuck inside a PC or tinkering with a server operating system. Besides computing, ...

Have you ever wished you could harness the power of advanced AI right from your laptop—no fancy hardware, no cloud subscriptions, just you and your device? For many of us, the idea of running powerful ...

Running your own local LLM has never been easier. Ollama, Open WebUI, and a growing collection of local LLM tools have made it possible to run capable language models on consumer hardware. For privacy ...

There are plenty of benefits to running local LLMs, not least of which is that you don't have to share all your personal data with an AI company. The problem is that even fairly small LLMs run slowly ...

Generative AI has become an indispensable partner for my daily tasks and writing. I am always helped by cloud-based LLMs, not ...

LLMs (Large Language Models) for local use are usually distributed as a set of weights in a multi-gigabyte file. These cannot be directly used on their own, which generally makes them harder to ...

The beauty of large language models (LLMs) like ChatGPT is that they churn through huge volumes of data to produce what can be compelling new content. They can create credible résumés and meeting note ...

This article contains affiliate advertisements.In September 2026, I bought a used Radeon VII at the Dospara main store in ...

I’m Adam Conway, an Irish technology fanatic with a BSc in Computer Science and I'm XDA’s Lead Technical Editor. My Bachelor’s thesis was conducted on the viability of benchmarking the non-functional ...