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Multi-GPU training is hard (without PyTorch Lightning) (Practical AI #138)
William Falcon wants AI practitioners to spend more time on model development, and less time on engineering. PyTorch Lightning is a lightweight PyTorch wrapper for high-performance AI research that lets you train on multiple-GPUs, TPUs, CPUs and even in 16-bit precision without changing your code! In this episode, we dig deep into Lightning, how it works, and what it is enabling. William also discusses the Grid AI platform (built on top of PyTorch Lightning). This platform lets you seamlessly train 100s of Machine Learning models on the cloud from your laptop.
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Featuring
- William Falcon – Twitter, GitHub, Website
- Chris Benson – Twitter, GitHub, LinkedIn, Website
- Daniel Whitenack – Twitter, GitHub, Website
Notes and Links
- PyTorch Lightning | Website
- PyTorch Lightning | Twitter
- PyTorch Lightning | LinkedIn
- PyTorch Lightning | GitHub
- Grid.ai | Website
- Grid.ai | Twitter
- Grid.ai | LinkedIn
- Grid AI, From the Makers of PyTorch Lightning, Emerges From Stealth With $18.6m Series A to Close the Gap Between AI Research and Production
- Grid AI raises $18.6M Series A to help AI researchers and engineers bring their models to production
- Grid.ai Launches Platform to Train Machine Learning Models in the Cloud
Something missing or broken? PRs welcome!