aws-solutions-library-samples / guidance-for-machine-learning-inference-on-aws

This Guidance demonstrates how to deploy a machine learning inference architecture on Amazon Elastic Kubernetes Service (Amazon EKS). It addresses the basic implementation requirements as well as ways you can pack thousands of unique PyTorch deep learning (DL) models into a scalable architecture and evaluate performance at scale

Date Created 2021-08-11 (3 years ago)
Commits 107 (last one 2 months ago)
Stargazers 37 (0 this week)
Watchers 16 (0 this week)
Forks 9
License mit-0
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aws-solutions-library-samples/guidance-for-machine-learning-inference-on-aws has 2 open pull requests on Github, 8 pull requests have been merged over the lifetime of the repository.

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There have been 2 releases, the latest one was published on 2023-06-09 (about a year ago)

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updated: 2024-09-04 @ 10:18am, id: 394867459 / R_kgDOF4kzAw