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

Date Created 2021-08-11 (3 years ago)

Commits 108 (last one about a month ago)

Stargazers 39 (0 this week)

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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.

Github issues are enabled, there are 5 open issues and 0 closed issues.

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

Homepage URL: https://bit.ly/aws-do-inference

All Topics

ml graviton3 inferentia eks-cluster do-framework mlops-workflow

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updated: 2024-11-20 @ 12:55am, id: 394867459 / R_kgDOF4kzAw