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PyTorch

PyTorch

software
Last discussed Sep 11, 2026

An open-source deep learning framework developed by Meta, widely used for building and training AI models.

What creators say

MA
Mitesh Agarwal
mentioned
Used for: Foundational ML framework that inference customers build on

"People want to use it how they're currently using it and going to continue to use it, which is based on Nvidia's stack but also primarily based on PyTorch."

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Cliff Weitzman
mentioned

"Fireworks is amazing. Lyn, the founders — she's one of the co-founders of PyTorch."

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John Coogan
mentioned
Praised: Preferred by developers over TensorFlow vs: Preferred over TensorFlow

"The paper was implemented in Google's TensorFlow framework and people like PyTorch. So the Hugging Face team converted BERT from TensorFlow to PyTorch and released the conversion for free."

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+1 more mention from John

"You think of open software, whether it's Linux or Kubernetes or PyTorch — that open software built the foundation of our economy. 80% of our digita..."

Dave Blundin
mentioned
Used for: AI research and model development for fast iteration Praised: Allows rapid iteration of ideas

"All the AI researchers in the world moved to Python and PyTorch to do the work because you can iterate your ideas so much more quickly in that environment."

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JM
Jerry Murdock
mentioned
Used for: Deep learning model development and optimization

"That team was the geniuses that understood Python the best — PyTorch in particular. So you've got this sort of team of people that have a different take and have a different set of aspirations in what they're doing."

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JH
Jensen Huang
mentioned
Used for: Foundational open-source deep learning framework for training AI models Praised: Singled out as the most important among early open-source AI frameworks for e... vs: Compared favorably to TensorFlow; also mentioned alongside Caffe, Torch, and ...

"If not for TensorFlow or, more importantly, PyTorch — and the early versions of Caffe, Torch, Theano — all of those were open source. If not for all of that, how would we have modern AI?"

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GU
Gavin Uberti
mentioned
vs: Deliberately not supported in favor of a kernels-first, hardware-direct progr...

"The decision explicitly not to build an arbitrary graph compiler, not to support arbitrary PyTorch, not to support arbitrary CUDA, not to support arbitrary ONNX graphs — but instead we envisioned a world where there was going to be under a hundred..."

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About this data

  • ✓44,000+ mentions extracted from real podcast transcripts
  • ✓Every quote links to the source episode
  • ✓Sponsored mentions are always labeled
  • ✓Critical takes are shown, never filtered out
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