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Unified AI & ML runtime: How SageMaker Distribution aims to radically simplify ML development

·1 min

Abstract:

Managing Machine Learning environments is hard:

“Where do I install package X from? If I install Y, will it break my current environment or change the package closure in any way? How do I share my code and the corresponding environment with a colleague in a reproducible way? If my code runs locally, how do I ensure it runs as-is in the cloud? How do I safely and easily upgrade the environment at a cadence I want?”

Learn how Amazon SageMaker Distribution, an open-source project by Amazon Web Services, takes a radically different approach by packaging all the tools you want in a single environment, and upgrades it at a cadence you can rely upon.