I've been struggling to get a Docker image up and running for three days now, facing countless errors along the way. Each time I try to deploy, I end up hitting a wall and have to figure everything out from scratch again. It's incredibly frustrating! I've explored prebuilt Docker images, but they're often outdated and don't have the features I need. I'm starting to think I might be using Docker incorrectly, but I really don't know. I've asked various AIs for help, but nothing has worked, so I thought I'd reach out here.
For more context, I'm building a bulk AI content generator that runs locally and connects to the [fal.ai](http://fal.ai) API, but the API costs are too high for my production needs. My plan was to use open-source machine learning models on a rented GPU via vast.ai. I have a script set up to find and rent a server, start it with a Docker image that includes CUDA 12.8 (since the GPU requires it), and install the models and ComfyUI. Unfortunately, I ran into issues because the template on vast.ai runs an incompatible version of CUDA. I'm not sure if I should upgrade the template or just build my own Docker image, but I feel lost after this much trial and error. I'm an entrepreneur with about six months of coding experience and could use some guidance.
I know I might not be following best practices in development, but I'm eager to learn!
4 Answers
You might be biting off more than you can chew right now. Consider hiring a professional to help set this up, especially since you're an entrepreneur and time is money. Also, have you thought about using Portainer? It's a container management tool that can simplify your Docker journey quite a bit.
It sounds like you're hitting some common snags with Docker, especially if you're new to it. Docker can definitely feel overwhelming, but it’s more about changing your mindset than it is about the tool itself. First things first—what exactly are you trying to accomplish? Sharing your Dockerfile and the specific errors you're encountering can help people assist you better. Maybe take a closer look at the documentation instead of relying on AIs; they can point you in the right direction but nothing beats the official docs! Let’s get you unstuck!
I get the frustration with outdated images, but have you thought about updating those prebuilt images instead? Look for their Dockerfile, tweak it to install the latest software you need, and add the features you're looking for. It could save you a lot of time instead of building from scratch!
From what you've described, you might be running into architecture issues, like trying to use an ARM image on an x86 setup, for example. Also, if you're working on Windows, that can introduce extra complexity. I'd recommend starting with Docker Compose—it’s often easier to manage and understand. You could also try to run everything manually first in a simple container from a base image to see how the process works before scripting it out.
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