A local model costs around $0.59 per hour, which with a $20 budget gives about 8.5 hours of uptime per week. Why is this important? Because many people on this forum would love to work with a local AI setup where you have full control over the infrastructure, just like on your own computer.
Cloud GPU platforms like RunPod make this possible. You can easily run models there, such as Gemma 4 31B quantized to 4-bit (INT4/Q4), costing as little as ~$0.59 per hour for dedicated GPU compute. This allows you to spin up an instance in just 5 minutes to run a task when needed.
Additionally, on Hugging Face you can find fine-tuned and uncensored versions of Gemma (often created using unsloth/heretic methods). These variants have significantly reduced refusals and answer prompts that stock models would normally decline, essentially stripping away most restrictive safety guardrails.
In my opinion, this is currently the cheapest and simplest solution for working with a capable model that isn't heavily restricted. Gemma 4 31B is already a solid, reasonably large model. Even though it's 4-bit quantized to optimize running costs, removing those guardrails makes it very useful.
I believe this approach is highly practical for our RV workflow. I've personally tested it with this model for remote viewing—running three sessions so far. The first attempt was mediocre, but the next two turned out surprisingly well for a model that had never run a session before.