Talk:GPUOpen

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Have any suitable logos been publicly released yet that can be used here? Wikinium (talk) 17:52, 19 December 2015 (UTC)[reply]

The 'Rationale' section of the article has almost no citations, and feels quite biased. The rest of the article seems fine in this regard. Examples of what I mean:

"AMD's GCN-based hardware could be called more advanced then the competition's hardware"

"Nvidia work-around for this lack of hardware support is slow."

"AMD's TeraScale-based Direct3D 10-capable GPUs, had already hardware blocks doing some sort of tessellation, predating Direct3D 11 with about 2 years! Sadly this did no became industry standard and therefore wide-spread, and therefore gave AMD not advantage what-so-ever."

"For unknown reasons, only very few game developers actually shipped products supporting Mantle."

"With many developers and GPU manufacturers being unable to properly view and optimize their products for GameWorks, game and software performance for consumers that use non-Nvidia GPUs suffers."

Honestly I don't think the section belongs on Wikipedia at all. Speculating the rationale behind something is a matter that should be left to blog posts and other publifications. I suppose the section could be renamed to History and use reliable sources and it'd be alright, but as it currently stands it shouldn't be in the article.

I'm putting the OR and NPOV tags on it for now, as it feels quite guilty of both to me. Please improve the section, and call me out on the talk page if you disagree with this. Turdas (talk) 03:05, 1 February 2016 (UTC)[reply]

Hello fellow Wikipedians,

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This library did exist at one point, I swear! But now it's no longer listed on the GPU Open website. I'm trying to track down what the story is here... but I guess the article is now incorrect by listing it? — Preceding unsigned comment added by 203.206.138.51 (talk) 23:18, 15 May 2018 (UTC)[reply]

The article should mention that GPUOpen facilitates compatibility of AMD GPUs with a lot of things that are still said to be NVIDIA-only, such as CUDA, Torch, PyTorch, and TensorFlow. There may be a small time penalty due to porting/translation into AMD-compatible code, but it's still way faster than any CPU-based solutions. --2003:EF:170D:4588:892A:CA15:5B84:A6C0 (talk) 08:41, 11 August 2022 (UTC)[reply]

Adding FSR 3 & could use help with references —danhash (talk) 15:40, 6 September 2023 (UTC)[reply]