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 4 months ago)
Stargazers 42 (0 this week)
Watchers 19 (0 this week)
Forks 13
License mit-0
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RepositoryStats indexes 618,350 repositories, of these aws-solutions-library-samples/guidance-for-machine-learning-inference-on-aws is ranked #525,689 (15th percentile) for total stargazers, and #117,868 for total watchers. Github reports the primary language for this repository as Shell, for repositories using this language it is ranked #13,953/16,176.

aws-solutions-library-samples/guidance-for-machine-learning-inference-on-aws is also tagged with popular topics, for these it's ranked: ml (#548/641)

Other Information

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

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updated: 2025-02-16 @ 08:29pm, id: 394867459 / R_kgDOF4kzAw