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This is part of my series of videos where I explore AI tools, starting with vibe coding using Cursor.

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Untitled

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https://youtu.be/zHyx4XQrUTA?si=4xJFAK0LhGAE019x

In this video I introduced the series and started to implement of a mini app to manage Vast.ai and Runpod instances.

Concepts

https://youtu.be/YSc9-P2r6qw?si=A6O5Z4sWHEMZyJb3

Less talk, more code. In this episode we took our app to the next level. Now we are able to list, rent and terminate instances in Vast.ai via API.

Concepts

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Notes

Starter Prompt

LLM Prompt

cURLs

Vast.ai API

https://docs.vast.ai/api/

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Requirements

Identify the best configuration based on intended usage

Take into consideration bandwith, GPU, TFLOPS, RAM

Choose the best cost/benefit instance

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References

https://wan.video/welcome

https://bfl.ai/models/flux-kontext

https://ollama.com/

https://n8n.io/

https://vast.ai/

https://www.runpod.io/

https://www.cursor.com/

https://chat.qwen.ai/

https://openwebui.com/

https://www.python.org/

https://fastapi.tiangolo.com/

https://swagger.io/

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Hello there, I’m Edu ;)

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I’ve been working in tech for quite some time and here I am, one more time, learning something new.

On my AI studies I also realized how difficult is for people, especially without technical background, to cut through the noise and get good information.

So my idea here is to share what I learned, along with my journey. Maybe that could make it easier for you to learn about AI as well.

Really hope you enjoy this guide!

Feel like saying hi? Let’s connect!

https://x.com/itseduvieira

https://www.youtube.com/@itseduvieira

https://www.tiktok.com/@itseduvieira

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Made with ❤️ by @itseduvieira