PyTorch builds the future of AI and machine learning at Facebook

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2021-06-16 20:00:07

Facebook’s AI models perform trillions of inference operations every day for the billions of people that use our technologies. Meeting this growing workload demand means we have to continually evolve our AI frameworks. Which is why, today we’re announcing that we’re migrating all our AI systems to PyTorch.

Adopting PyTorch as Facebook’s default AI framework helps ensure that all the experiences across our technologies will run optimally at Facebook scale and for everyone, regardless of what device, operating system, or quality of internet connection they may have. Whether it’s advancing the state of the art in computer vision or deploying personalized Instagram recommendations, we’re able to innovate at the fastest clip with greater flexibility, thanks to PyTorch.

Today, over a year into the migration process, there are more than 1,700 PyTorch-based inference models in full production at Facebook, and 93 percent of our new training models — those responsible for identifying and analyzing content on Facebook — are on PyTorch.

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