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 2 months ago)

Stargazers 40 (0 this week)

Watchers 19 (0 this week)

Forks 11

License mit-0

Ranking

RepositoryStats indexes 598,732 repositories, of these aws-solutions-library-samples/guidance-for-machine-learning-inference-on-aws is ranked #522,847 (13th percentile) for total stargazers, and #117,268 for total watchers. Github reports the primary language for this repository as Shell, for repositories using this language it is ranked #13,890/15,708.

aws-solutions-library-samples/guidance-for-machine-learning-inference-on-aws is also tagged with popular topics, for these it's ranked: ml (#540/618)

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

All Topics

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

Star History

Github stargazers over time

Watcher History

Github watchers over time, collection started in '23

Recent Commit History

104 commits on the default branch (main) since jan '22

Yearly Commits

Commits to the default branch (main) per year

Issue History

Languages

The primary language is Shell but there's also others...

updated: 2024-11-28 @ 05:06pm, id: 394867459 / R_kgDOF4kzAw