Introducing the Hendrix ML Platform: an Evolution of Spotify’s ML Infrastructure - InfoQ
- the video in the link above starts at 20m to talk about Hendrix
- they use Ray clusters and PyTorch to scale the backend, with Flyte to schedule their jobs
- they build to enable notebook iteration and development
- They have feature store, standardized model registry
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Bryan lives somewhere at the intersection of faith, fatherhood, and futurism and writes about tech, books, Christianity, gratitude, and whatever’s on his mind. If you liked reading, perhaps you’ll also like subscribing: