From $50 Raspberry Pis to $4,000 workstations, we cover the best hardware for running AI locally, from simple experiments to ...

Mistral’s local models tested on a real task from 3 GB to 32 GB, building a SaaS landing page with HTML, CSS, and JS, so you ...

This AI runs entirely local on a Raspberry Pi 5 (16GB) — wake-word, transcription, and LLM inference all on-device. Cute face UI + local AI: ideal for smart-home tasks that don't need split-second ...

What if the future of AI wasn’t in the cloud but right on your own machine? As the demand for localized AI continues to surge, two tools—Llama.cpp and Ollama—have emerged as frontrunners in this space ...

Earlier this year, Apple introduced its Foundation Models framework during WWDC 2025, which allows developers to use the company’s local AI models to power features in their applications. The company ...

Your latest iPhone isn't just for taking crisp selfies, cinematic videos, or gaming; you can run your own AI chatbot locally on it, for a fraction of what you're paying for ChatGPT Plus and other AI ...

I've been using cloud-based chatbots for a long time now. Since large language models require serious computing power to run, they were basically the only option. But with LM Studio and quantized LLMs ...

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Last May, MacPaw announced Eney, an “AI-powered companion” that accepts requests in natural language and performs actions on the user’s behalf. Here’s MacPaw on Eney’s original announcement: We’re ...

Advanced Paste can now perform tasks using local AI models instead of connecting to the cloud. Advanced Paste can now perform tasks using local AI models instead of connecting to the cloud. is a news ...