blog_posts: 30c894c99b
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id | createdDate | title | link | postExcerpt | featuredImageUrl | hash | contributors | modifiedDate | displayDate |
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blog-posts#34-49957 | 2023-02-24 20:56:04 | Achieve high performance at scale for model serving using Amazon SageMaker multi-model endpoints with GPU | https://aws.amazon.com/blogs/machine-learning/achieve-high-performance-at-scale-for-model-serving-using-amazon-sagemaker-multi-model-endpoints-with-gpu/ | Amazon SageMaker multi-model endpoints (MMEs) provide a scalable and cost-effective way to deploy a large number of machine learning (ML) models. It gives you the ability to deploy multiple ML models in a single serving container behind a single endpoint. From there, SageMaker manages loading and unloading the models and scaling resources on your behalf [...] | https://d2908q01vomqb2.cloudfront.net/f1f836cb4ea6efb2a0b1b99f41ad8b103eff4b59/2023/02/24/achieve-high-performance-at-scale.jpg | 30c894c99b | James Wu, Vikram Elango, Simon Zamarin, Saurabh Trikande | 2023-02-24 20:56:04 | 24 Feb 2023 |
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