Google's Gemma 4 model goes fully open-source and unlocks powerful local AI - even on phones

Now open-source under Apache 2.0, Gemma 4 brings offline, multimodal AI to servers, phones, and Raspberry Pi - giving ...

Ollama adopts MLX for faster AI performance on Apple silicon Macs

This results in a large speedup of Ollama on all Apple Silicon devices. On Apple’s M5, M5 Pro and M5 Max chips, Ollama ...

Running local models on Macs gets faster with Ollama’s MLX support

Ollama, a runtime system for operating large language models on a local computer, has introduced support for Apple’s open ...

Technical SEO for generative search: Optimizing for AI agents

Control how AI bots access your site, structure content for extraction, and improve your chances of being cited in ...
Virtualization Review

Running AI on a Raspberry Pi, Part 1: Overview

This first article in a series explains the core AI concepts behind running LLM and RAG workloads on a Raspberry Pi, including why local AI is useful and what tradeoffs to expect.
CNX Software

Select the right hardware for your local LLM deployment with this online guide

When it comes to deploying local LLMs, many people may think that spending more money will deliver more performance, but it's far from reality.  That's ...
GitHub

comboaiii/heartlib-infinite-Aisongs-with-feedback-gui-lmStudio-Linux

We recommend using python=3.10 for local deployment. Clone this repo and install locally. git clone https://github.com/HeartMuLa/heartlib.git cd heartlib pip install ...
GitHub

AI: Models can't use tools properly when using LMStudio local provider.

aiImprovement related to Agent Panel, Edit Prediction, Copilot, or other AI featuresImprovement related to Agent Panel, Edit Prediction, Copilot, or other AI features I tested several models as local ...