Few things have developed as fast as artificial intelligence has in recent years. With AI chatbots like ChatGPT or Gemini gaining new features and better capabilities every so often, it's ...

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 ...

When AI platforms started mushrooming out of nowhere, I wasn’t very fond of using them in my workflows. And well, that sentiment still hasn’t changed now, especially with most software and hardware ...

Artificial intelligence chatbots such as ChatGPT, with all its unexpected features, and Google Gemini, with its impressive gaming feature, are typically tethered to the cloud, where powerful servers ...

What if you could harness the power of innovative AI without relying on cloud services or paying hefty subscription fees? Imagine running a large language model (LLM) directly on your own computer, no ...

I'm not shopping for a new GPU just yet ...

I have eight years of experience covering Android, with a focus on apps, features, and platform updates. I love looking at even the minute changes in apps and software updates that most people would ...

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, ...

LLMfit helps identify which local models fit a system's CPU, GPU and memory profile before time is spent downloading and testing them. Ollama provides a practical runtime and chat interface for ...

João has been covering the tech world for over 7 years, with a heavy focus on laptops and the Windows ecosystem. I also love all things tech and videogames, especially Nintendo, which he's always ...

I was wondering what people are using to run LLMs locally on their Mac? I know of a couple of applications, but none have impressed me. Sidekick - I've found it to be quite buggy, but its early days, ...

Given how much energy and water AI data centers use, wouldn't we be better off environmentally storing LLMs locally on our own personal computers?