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Nvidia just released a free AI model that runs locally on your machine. No API bills. No subscription fees. No data leaving your computer.
Nemotron 3 Super runs through Ollama and is available right now. It is a 120 billion parameter model that only activates 12 billion at a time, with a 256,000 token context window — and it costs nothing to run. This video covers the full setup, how to fit it into an existing service business workflow, and why the Zero-Cost Intelligence Framework changes your cost structure on client work permanently.
In this video you’ll learn:
What Nemotron 3 Super is, how the mixture-of-experts architecture works, and why it matters for solo operators
How to get it running through Ollama in a few steps — including the cloud option if your local hardware isn’t there yet
The Zero-Cost Intelligence Framework: how to structure a two-tier AI stack that reserves paid models for only what requires them
How to plug Nemotron 3 Super directly into existing agent frameworks and workflow builders with zero rebuilding
Why local model deployment is a genuine differentiator for clients in law, finance, and other data-sensitive industries
When your cost per deliverable drops to zero on volume tasks, the math on client work changes. This is the cost structure most competing freelancers have not figured out yet.
👇 Drop a like and comment below and I’ll reply with the free prompts I use to run this entire workflow.
Timestamps
0:00 – What Nemotron 3 Super is and why it’s worth paying attention to 1:15 – How the mixture-of-experts architecture works in plain English 2:05 – The Zero-Cost Intelligence Framework explained 3:00 – Ollama setup and pulling Nemotron 3 Super step by step 4:00 – Local vs cloud option and LM Studio as an alternative interface 4:50 – Plugging the model into existing agent frameworks and workflow tools 5:45 – How eliminating volume task costs changes service business margins 6:40 – Data privacy as a client differentiator in sensitive industries 7:30 – What the early mover cost structure advantage actually looks like 8:10 – Recap and next steps
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