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

(github.com)
490 points jarmitage | 2 comments | 14 Jun 24 13:28 UTC | HN request time: 0.544s | source
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w-m ◴[14 Jun 24 14:58 UTC] No.40681522[source]▶
I was playing around with taichi a little bit for a project. Taichi lives in a similar space, but has more than an NVIDIA backend. But its development has stalled, so I’m considering switching to warp now.

It’s quite frustrating that there’s seemingly no long-lived framework that allows me to write simple numba-like kernels and try them out in NVIDIA GPUs and Apple GPUs. Even with taichi, the Metal backend was definitely B-tier or lower: Not offering 64 bit ints, and randomly crashing/not compiling stuff.

Here’s hoping that we’ll solve the GPU programming space in the next couple years, but after ~15 years or so of waiting, I’m no longer holding my breath.

https://github.com/taichi-dev/taichi

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szvsw ◴[14 Jun 24 15:51 UTC] No.40681931[source]▶
I’ve been in love with Taichi for about a year now. Where’s the news source on development being stalled? It seemed like things were moving along at pace last summer and fall at least if I recall correctly.
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w-m ◴[14 Jun 24 15:58 UTC] No.40681980[source]▶
https://github.com/taichi-dev/taichi/discussions/8506
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1. bsavery ◴[15 Jun 24 03:33 UTC] No.40687309[source]▶
Yeah this discussion is pretty interesting. I was wondering what what happening with development as well. Taichi is cool tech, that if I had to be honest, it seems like they lacked direction of how to monetize it. For example they tried doing this "Taitopia thing" https://taitopia.design/ (which is already EOL'ed).

IMO if they had focused from the beginning on ML similar to Mojo, they would be in a better place.

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2. szvsw ◴[15 Jun 24 17:04 UTC] No.40690992[source]▶
It developed out of a dissertation at MIT (honestly a pretty damn impressive one IMO) and it seems like without some sort of significant support from universities, foundations or corporations, it would be pretty difficult to “monetize” - these in turn require some sort of substantial industry adoption or dogfooding it in some other job/contracts, which is tough I assume.