Cheap rented compute — roughly $10 a month for a VM that runs n8n and Ollama when your own hardware won't.

Pick this when

Local hardware is the blocker (the course singles out Intel laptops) and you'd rather rent than upgrade.

What makes it different

About $10/month to move the whole local stack off your machine

GPU options for model workloads local hardware can't touch

What it does

Rents virtual machines, some GPU-backed, by the month

Hosts self-hosted n8n and Ollama for always-on workflows

What it does not do

Common wrong expectations

Doesn't manage anything for you — it's a machine, and it's yours to maintain

Where it sits in a stack

The escape hatch when the fully-local stack is right in principle but wrong for your laptop.

Shelf

Backend, hosting & code

Our status · not-using

No always-on workload.

For your projects

None currently.

Freshness

current

Related tools

complementsOllamacomplementsn8n

ollama: somewhere with enough RAM to run models properly

n8n: always-on self-hosted automation

Every moment the course touched it (1)

SessionCoverageMomentWhat happened
Basecamp 3: Introduction to n8n — Imentioned2:58:52~$10 VM rental for n8n/Ollama when local hardware (esp. Intel laptops) won't cut it

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