Most people are still renting AI power.
Gemma 4 26B A4B shows why running AI locally is becoming way more realistic.
The big shift:
1. It has 26B total parameters.
2. It only activates around 4B per request.
3. That means faster inference.
4. It supports a 256K token context window.
5. It can process text and images.
6. It supports function calling and JSON output.
7. It can power agentic workflows locally.
You can run it with tools like Ollama, OLlama.cpp, LM Studio, MLX, and Hugging Face.
This is not just another model drop.
It is a sign that local AI is catching up fast.
Save this video, you’ll know what to run locally next.
Want the SOP? DM me. 💬
Google just dropped a free model nobody is talking about. And it replaced my monthly AI bills.
The tool is Gemma 4.
You can download it today.
It runs fast on the computer you already own.
You can give it big charts to read.
It thinks through hard problems step by step.
You can run three tasks at the exact same time.
Stop letting new tech confuse you.
Get the exact steps to use it inside the AI Success Lab.
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As per the USB-C ruling, Europe is a giant that can change markets to put European consumers’ needs first.
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