Cost per sample? Try cost per attempt

This article is aimed at bioinformatics platform leads, ML infrastructure engineers, and genomics budget owners who are now running GPU-accelerated workflows in the cloud. It's about a hidden cost problem that almost every genomics infrastructure team is paying for — and very few are actively measuring. The observations here are specific to short-read sequencing workflows, which remain the dominant data type in production genomics environments. Short-read sequencing pipelines, standard in