All About NVIDIA GPUs PyTorch Developer podcast

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内容由PyTorch, Edward Yang, and Team PyTorch提供。所有播客内容（包括剧集、图形和播客描述）均由 PyTorch, Edward Yang, and Team PyTorch 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品，您可以按照此处概述的流程进行操作https://zh.player.fm/legal。

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All about NVIDIA GPUs

4y ago 19:29

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内容由PyTorch, Edward Yang, and Team PyTorch提供。所有播客内容（包括剧集、图形和播客描述）均由 PyTorch, Edward Yang, and Team PyTorch 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品，您可以按照此处概述的流程进行操作https://zh.player.fm/legal。

PyTorch is in the business of shipping numerical software that can run fast on your CUDA-enabled NVIDIA GPU, but it turns out there is a lot of heterogeneity in NVIDIA’s physical GPU offering and when it comes to what is fast and what is slow, what specific GPU you have on hand matters quite a bit. Yet there are literally hundreds of distinct NVIDIA GPU models on the market, how do you make sense of the madness? Today, Natalia Gimelshein joins me to talk about everything that’s going on in the NVIDIA GPU market, and what, as a framework developer, you have to care about to make sense of it all.

Further reading.

NVIDIA microarchitectures on Wikipedia https://en.wikipedia.org/wiki/Category:Nvidia_microarchitectures
A slightly old post about matching SM to architecture https://arnon.dk/matching-sm-architectures-arch-and-gencode-for-various-nvidia-cards/

… continue reading

83集单集

#Tech #PyTorch #Edward Yang #Team PyTorch #Deep Learning #Machine Learning

Artwork

All about NVIDIA GPUs

PyTorch Developer Podcast

26 subscribers

published 4y ago

分享

MP3•单集首页

内容由PyTorch, Edward Yang, and Team PyTorch提供。所有播客内容（包括剧集、图形和播客描述）均由 PyTorch, Edward Yang, and Team PyTorch 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品，您可以按照此处概述的流程进行操作https://zh.player.fm/legal。

PyTorch is in the business of shipping numerical software that can run fast on your CUDA-enabled NVIDIA GPU, but it turns out there is a lot of heterogeneity in NVIDIA’s physical GPU offering and when it comes to what is fast and what is slow, what specific GPU you have on hand matters quite a bit. Yet there are literally hundreds of distinct NVIDIA GPU models on the market, how do you make sense of the madness? Today, Natalia Gimelshein joins me to talk about everything that’s going on in the NVIDIA GPU market, and what, as a framework developer, you have to care about to make sense of it all.

Further reading.

NVIDIA microarchitectures on Wikipedia https://en.wikipedia.org/wiki/Category:Nvidia_microarchitectures
A slightly old post about matching SM to architecture https://arnon.dk/matching-sm-architectures-arch-and-gencode-for-various-nvidia-cards/

… continue reading

83集单集

#Tech #PyTorch #Edward Yang #Team PyTorch #Deep Learning #Machine Learning

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