From $50 Raspberry Pis to $4,000 workstations, we cover the best hardware for running AI locally, from simple experiments to ...
Quietly, and likely faster than most people expected, local AI models have crossed that threshold from an interesting ...
Running AIs on your own machine lets you stick it to the man and save some cash in the process Feature After a decade or two of the cloud, we're used to paying for our computing capability by the ...
What if you could harness the power of innovative artificial intelligence without relying on the cloud? Imagine running a large language model (LLM) locally on your own hardware, delivering ...
ChatGPT, Google’s Gemini and Apple Intelligence are powerful, but they all share one major drawback — they need constant access to the internet to work. If you value privacy and want better ...
AI has become an integral part of our lives. We all know about popular web-based tools like ChatGPT, CoPilot, Gemini, or Claude. However, many users want to run AI locally. If the same applies to you, ...
If you’re interested in using AI to develop embedded systems, you’ve probably had pushback from management. You’ve heard statements like: While these are legitimate concerns, you don’t have to use ...
Many users are concerned about what happens to their data when using cloud-based AI chatbots like ChatGPT, Gemini, or Deepseek. While some subscriptions claim to prevent the provider from using ...
Developers and creatives looking for greater control and privacy with their AI are increasingly turning to locally run models like OpenAI’s new gpt-oss family of models, which are both lightweight and ...
Your best bet to attaining a private AI experience is to run an AI chatbot locally on your device. Many apps offer this functionality, but PocketPal AI stands out for supporting a wide range of ...
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, ...
What if the future of artificial intelligence wasn’t about building bigger, more complex models, but instead about making them smaller, faster, and more accessible? The buzz around so-called “1-bit ...