Learn how to run local large language models on the Apple M5 Max MacBook Pro using 128GB of unified RAM to eliminate cloud ...

Osaurus combines local and cloud AI models in a Mac app that keeps users’ memory, files, and tools on their own hardware.

Want AI on your phone without cloud limits? Models like Llama 3.2, Qwen3, Gemma 3, and SmolLM2 run locally for private chats, coding, reasoning, and image tasks. Llama 3.2 is the best all-rounder, ...

The new Cactus AI inference engine allows mobile devices to run local models using 10x less RAM through NPU optimization and ...

The tech industry has spent years bragging about whose cloud-based AI model has the most trillions of parameters and who poured more billions of dollars into data centers. However, the open-source AI ...

Both tools stay ...

With the launch of Google’s Gemma 4 family of AI models, AI enthusiasts now have access to a new class of small, fast, and omni-capable AI designed for fast and efficient local deployment, and NVIDIA ...

To put it simply: Apple Silicon is impressively optimized for running local AI models. And the data is clear: people care about this. Mac Studios are widely sold out, and Mac minis are impossible to ...

Go big local or go back to the cloud.

Google launched its Gemma 4 open models this spring, promising a new level of power and performance for local AI. Google’s take on edge AI could be getting even faster already with the release of ...

By putting the weights of a highly capable, 33B-parameter agentic model in the hands of researchers and startups, Poolside is positioning itself as a cornerstone of the open-AI ecosystem.