Jetson nano

 

starmex

@starmexxx

NVIDIA QUIETLY DROPPED A $249 BOX THAT REPLACES YOUR $200/MONTH OPENAI SUBSCRIPTION WITH $2 IN ELECTRICITY it's called the jetson orin nano super. smaller than a wallet, runs at 25 watts, does 70 trillion ai operations per second. runs llama 3, mistral, gemma and deepseek locally with no api fees and no data leaving your house a developer running automations and coding assistants pays $200 a month to openai. the same workload on this box costs $2 a month in electricity and breaks even in 10 weeks install ollama with one command. change one line in your code. point it at localhost instead of openai. everything else works identically 7 billion parameter models handle 80% of what people use chatgpt for. summarization, drafting, coding, document q&a, automation pipelines. total monthly cost drops from $200 to $22 cloud subscriptions keep getting more expensive and rate limits keep getting tighter. the people who set this up in 2025 are going to look very smart in 2027 bookmark this and read the article below

starmex

@starmexxx

HOW I WENT FROM $200/MONTH TO $2. ONE NVIDIA BOX

I found out about this late. Don't make the same mistake.

Follow & Bookmark this - I'm

@starmexxx

, I track how AI tools are creating new income streams most people haven't heard of yet. This one surprised even me.

Three months ago my OpenAI API bill hit $180 for the month. I was running automations, content pipelines, coding assistants - stuff that never stops. Every prompt costs money. Every request goes to their servers. Every conversation leaves my machine.

Then someone in a Discord server posted a photo of a box the size of a deck of cards sitting under their desk. "Cancelled my OpenAI subscription. This runs Llama locally. $2/month in electricity."

The box was a Jetson Orin Nano Super. Made by NVIDIA. $249 one-time.

I bought one the same day.

NVIDIA Robotics

@NVIDIARobotics

·

Dec 19, 2024

Watch NVIDIA CEO Jensen Huang introduce the world's most affordable #genAI computer. The new Jetson Orin Nano Super Developer Kit, priced at $249 USD, offers a powerful, compact platform for developers, students, & builders to redefine AI at the edge.

1/

What the Jetson Orin Nano Super actually is.

Most people have never heard of it. Jensen Huang announced it in December 2024 at a price that made no sense - $249 for a computer with a dedicated NVIDIA GPU.

powershell

Jetson Orin Nano Super - specs:
AI Performance:    67 TOPS (trillion operations/second)
GPU:               1024-core NVIDIA Ampere
CPU:               6-core ARM Cortex-A78AE
RAM:               8GB LPDDR5 (shared CPU+GPU)
Power consumption: 7-25W (depending on load)
Size:              70mm × 45mm - smaller than a wallet
Price:             $249

For context: a regular PC running AI workloads pulls 300-500W. A cloud GPU instance costs $0.50-2.00/hour. The Jetson runs at 7-25W and costs nothing after purchase.

67 TOPS means it can run 67 trillion AI operations per second. That's enough to run Llama 3, Mistral, Gemma, DeepSeek - any 7B parameter model - locally, privately, forever.

2/

The math that breaks your brain.

Here's what most people pay for AI access every month:

plaintext

┌─────────────────────────────────────┬──────────────────┐
│ Service                             │ Monthly cost     │
├─────────────────────────────────────┼──────────────────┤
│ ChatGPT Plus                        │ $20/month        │
│ OpenAI API (moderate use)           │ $50-200/month    │
│ Claude Pro                          │ $20/month        │
│ Cursor Pro                          │ $20/month        │
├─────────────────────────────────────┼──────────────────┤
│ Total for a developer               │ $100-300/month   │
└─────────────────────────────────────┴──────────────────┘

Here's what the Jetson costs:

plaintext

┌─────────────────────────────────────┬──────────────────┐
│ Cost                                │ Amount           │
├─────────────────────────────────────┼──────────────────┤
│ Hardware (one-time)                 │ $249             │
│ Electricity 24/7 at 15W avg         │ ~$2/month        │
│ API costs                           │ $0               │
├─────────────────────────────────────┼──────────────────┤
│ Monthly after month 3               │ $2/month         │
└─────────────────────────────────────┴──────────────────┘

Break-even at $100/month API spend: 2.5 months.

After that, every month is $98 profit compared to paying OpenAI. Over a year that's $1,164 saved. Over two years: $2,328.

3/

What it actually runs.

The Jetson runs Ollama - open source software that turns any LLM into a local API. Same interface as OpenAI. Same JSON responses. You literally change one line in your code:

python

# Before — paying OpenAI every request:
client = OpenAI(api_key="sk-...")

# After — Jetson under your desk, free:
client = OpenAI(
    base_url="http://localhost:11434/v1",
    api_key="ollama"  # doesn't matter
)

Nothing else changes. Your code works identically. Except nothing leaves your machine and nothing costs money.

Models that run on the Jetson Orin Nano Super:

plaintext

┌───────────────┬────────────┬───────────┬────────────────────────┐
│ Model         │ Parameters │ Speed     │ Best for               │
├───────────────┼────────────┼───────────┼────────────────────────┤
│ Llama 3.2     │ 3B         │ Fast      │ Quick tasks, automation │
│ Mistral 7B    │ 7B         │ Good      │ Writing, coding        │
│ Gemma 2       │ 9B         │ Decent    │ General use            │
│ DeepSeek R1   │ 1.5B       │ Very fast │ Reasoning tasks        │
│ Qwen 2.5      │ 7B         │ Good      │ Multilingual           │
└─────────────

7B models are the sweet spot. Fast enough to feel instant. Smart enough for 90% of real tasks.

4/

Setup. Seriously, it's 3 commands.

bash

# Step 1 — Install Ollama on Jetson (2 minutes)
curl -fsSL https://ollama.com/install.sh | sh

# Step 2 — Pull a model (5-10 minutes download)
ollama pull llama3.2

# Step 3 — Run it
ollama serve
# Your local ChatGPT is now at http://localhost:11434

Optional: install Open WebUI for a browser interface that looks exactly like ChatGPT:

bash

docker run -d -p 3000:8080 \
  --add-host=host.docker.internal:host-gateway \
  -v open-webui:/app/backend/data \
  ghcr.io/open-webui/open-webui:main

Open your browser at localhost:3000 and you have a private ChatGPT - no API key, no subscription, no data leaving your house.

5/

What people are actually building with it.

This is where it gets interesting. Once you have free, private, always-on AI - you start automating things you'd never pay per-request for.

A developer on Medium documented building a personal AI assistant that sends him a customized morning brief every day and quizzes his kid in math every afternoon. All automated. All offline. All free. Running on the same $249 box.

Real use cases people are running 24/7 on Jetson:

Personal automation: Morning briefings with local news summary · Email drafting assistant running locally · Code review bot that never sees your proprietary code · Voice assistant for Home Assistant smart home

Developer tools: Private coding assistant (no code leaves machine) · Local API for testing before going to cloud · Document Q&A on sensitive files · RAG system over your own knowledge base

Privacy-critical work: Legal document analysis · Medical records summarization · Financial data processing · Anything you'd never put in ChatGPT

The key insight: when AI costs $0 per request, you automate everything. When it costs $0.002 per 1,000 tokens, you think twice.

6/

The honest limitations.

This isn't a replacement for GPT-5 or Claude Sonnet. It's a replacement for GPT-3.5 level tasks at zero ongoing cost.

What it handles well:

> Summarization, drafting, editing > Code completion and revie > Classification and extractio > Q&A over documents > Automation scripts and pipelines

What it struggles with:

> Complex multi-step reasoning (7B model limits) > Large context windows (8GB RAM fills fast) > Image generation (different hardware needed) > Real-time internet access (offline by default)

The honest answer: 80% of what people use ChatGPT for daily falls into the "handles well" category. The other 20% - you keep your $20/month ChatGPT Plus for the hard stuff. Total monthly cost: $22 instead of $200.

7/

The full stack.

plaintext

HARDWARE:    Jetson Orin Nano Super — $249 one-time
             Amazon: amazon.com/dp/B0BZJTQ5YP

RUNTIME:     Ollama — free, open source
             ollama.com

INTERFACE:   Open WebUI — ChatGPT clone, local
             github.com/open-webui/open-webui

MODELS:      Llama 3.2, Mistral 7B, Gemma 2, DeepSeek
             All free on Hugging Face / Ollama library

INTEGRATION: OpenAI-compatible API at localhost
             One line change in any existing code

POWER:       ~$2/month electricity running 24/7
             Quieter than a phone charging

PRIVACY:     Nothing leaves your network. Ever.
             No terms of service on your own hardware

The only ongoing cost: $2/month in electricity.

The window.

NVIDIA priced this at $249 because they want developers building on Jetson. The ecosystem is exploding - Ollama, Open WebUI, llama.cpp, all optimized for this exact hardware. Jensen Huang personally introduced it. The software support is going to keep getting better.

Cloud AI subscriptions are getting more expensive. Rate limits are getting tighter. Privacy concerns are getting louder. The people who figured out local AI in 2025 are going to look very smart in 2027.

A $249 box under your desk. 67 trillion AI operations per second. $2/month in electricity.