What will be my favourite way to run ML workloads for learning purposes at market close?
3
260Ṁ40
resolved Dec 31
100%7%
Google Colab
21%
Modal.com
7%
GCP
7%
AWS
16%
Azure
7%
Vultr
30%
Lambda Labs
7%
Purchase local hardware

I have a basic laptop. I don't have a Cuda GPU or even a lot of memory, so that is limiting. I am trying a few different options right now.

I am wanting to try different things out, learn, do both training and inference.

Google Colab is good, but instances shut down, and you need to use the Jupyter-style interface whereas I prefer an IDE most of the time.

Modal.com is a cloud for running GPU workloads that is developer friendly is good, but you do need to learn their APIs. It can be fiddly sometimes to figure out how you do what you need to "the modal way".

I am happy to spend say up to $50/m on the hobby.

I will post updates sometimes on my thinking, and I won't bet.

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