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Nvidia Warp: A Python framework for high performance GPU simulation and graphics

(github.com)
490 points jarmitage | 1 comments | 14 Jun 24 13:28 UTC | HN request time: 0.201s | source
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eigenvalue ◴[14 Jun 24 14:23 UTC] No.40681204[source]▶
I really like how nvidia started doing more normal open source and not locking stuff behind a login to their website. It makes it so much easier now that you can just pip install all the cuda stuff for torch and other libraries without authenticating and downloading from websites and other nonsense. I guess they realized that it was dramatically reducing the engagement with their work. If it’s open source anyway then you should make it as accessible as possible.
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1. rldjbpin ◴[15 Jun 24 09:11 UTC] No.40688511[source]▶
there has been a rise of "open"-access and freeware software/services in this space. see hugging face and certain models tied to accounts that accept some eula before downloading model weights, or weird wrapper code by ai library creators which makes it harder to run offline (ultralytics library comes to mind for instance).

i like the value they bring, but the trend is against the existing paradigm of how python ecosystem used to be.