blog_posts: 7080d119d3
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id | createdDate | title | link | postExcerpt | featuredImageUrl | hash | contributors | modifiedDate | displayDate |
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blog-posts#3-32488 | 2022-07-19 21:00:09 | Deploy Accelerated ML Models to Amazon Elastic Kubernetes Service Using OctoML CLI | https://aws.amazon.com/blogs/apn/deploy-accelerated-ml-models-to-amazon-elastic-kubernetes-service-using-octoml-cli/ | Deploying machine learning (ML) models as a packaged container with hardware-optimized acceleration, without compromising accuracy and while being financially feasible, can be challenging. As machine learning models become the brains of modern applications, developers need a simpler way to deploy trained ML models to live endpoints for inference. This post explores how a ML engineer can take a trained model, optimize and containerize the model using OctoML CLI, and deploy it to Amazon EKS. | https://d2908q01vomqb2.cloudfront.net/77de68daecd823babbb58edb1c8e14d7106e83bb/2022/07/19/OctoML-APN-Blog-071922-300x150.png | 7080d119d3 | Sameer Farooqui, Meenakshisundaram Thandavarayan | 2022-07-25 23:40:09 | 19 Jul 2022 |
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