That repo looks cool, if I really wanted to learn Kubernetes. My usage right now is for running inference on CPU RAMs because I refuse to upgrade my 980-ti, so I'm not sure it would work for me
I have only had one 1 cent charge since I got it because I provisioned some volume storage before I realized that it would incur costs.
If you just use the repo I linked and otherwise never touch resources or auto provision anything on the infra side you’ll never be charged.
I would highly recommend this use case for learning kube, but also it’s kind of limiting because several things you might want to use with kube will also incur additional costs. You can avoid the costs if you simply just don’t do anything that triggers a cost event, but people who are not familiar with how kube can provision infra resources under the hood might footgun themselves and wire into a cloud load balancer instead of using MetalLB for instance.
Probably inference is not really a good use case here, the compute they give is considered extremely good in terms of free, but still kind of anemic for inference use cases.
I only run the tiny models for fun (the CPU inference is enough) and any complex coding tasks go through GPT or Claude. Mainly just using the one instance as another backup server, run scrapers, host a bunch of containers, and experiment with networking services. I don't see a reason to split up my one instance, but maybe in the future.
Deepseek-coder is pretty slow, even with the quantized models.
The parent only paid $0.01. Even $0.10 should be fine, even if you strongly dislike Oracle: the cost to Oracle for charging your card $0.10 is more than that, so they're actually losing money by charging you such a small amount!