Yes. The cost alone could have been significantly reduced. As the article notes, using an owned GPU locally instead of renting one for a cloud instance would have reduced the cost. The author also overspent on virtual CPU resources - paying for unused RAM and CPU cores when most of the processing was done on GPUs. And once you have a good model trained, actually putting it to use in inference is much faster and cheaper.