GitHub / 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
Stars: 41
Forks: 13
Open issues: 7
License: mit-0
Language: Shell
Size: 889 KB
Dependencies parsed at: Pending
Created at: almost 4 years ago
Updated at: 5 months ago
Pushed at: 4 months ago
Last synced at: 4 months ago
Topics: do-framework, eks-cluster, graviton3, inferentia, ml, mlops-workflow