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0 pointsj-wang2y ago0 comments

ML researchers in statistics departments write stuff in R, which makes everyone scream. ML researchers absolutely do.

My point in the article was basically the class was "indoctrinating" (too strong, but you get the point) the future ML researchers in the superiority of using CUDA and spending NVIDIA company resources to continuously do so in these classes, year after year.

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fancyfredbot2y ago

This hits the nail on the head. Nvidia got all the programmers excited about using their GPUs first and now they have all the software targeting their hardware.

If you could compile CUDA for Intel and AMD it's not going to perform well. When you program a GPU you aren't just writing task specific code, you are also writing hardware specific code. So having developer mindshare matters much more than having a nice programming language.

In ML many people write pytorch and not CUDA. But even in ML the choice of precision is driven by the data types Nvidia can deal with efficiently - this is a moat which is nothing to do with CUDA.

j / k navigate · click thread line to collapse

0 comments

fancyfredbot2y ago

This hits the nail on the head. Nvidia got all the programmers excited about using their GPUs first and now they have all the software targeting their hardware.

In ML many people write pytorch and not CUDA. But even in ML the choice of precision is driven by the data types Nvidia can deal with efficiently - this is a moat which is nothing to do with CUDA.

j / k navigate · click thread line to collapse