blog_posts: 6bfcc439dc
This data as json
id | createdDate | title | link | postExcerpt | featuredImageUrl | hash | contributors | modifiedDate | displayDate |
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blog-posts#34-10023 | 2019-11-06 21:47:48 | Building an interactive and scalable ML research environment using AWS ParallelCluster | https://aws.amazon.com/blogs/machine-learning/building-an-interactive-and-scalable-ml-research-environment-using-aws-parallelcluster/ | When it comes to running distributed machine learning (ML) workloads, AWS offers you both managed and self-service offerings. Amazon SageMaker is a managed service that can help engineering, data science, and research teams save time and reduce operational overhead. AWS ParallelCluster is an open-source, self-service cluster management tool for customers who wish to maintain more [...] | https://d2908q01vomqb2.cloudfront.net/f1f836cb4ea6efb2a0b1b99f41ad8b103eff4b59/2017/11/21/Social_Graphics_1-300x150.png | 6bfcc439dc | Alex Ford | 2019-11-06 21:47:48 | 06 Nov 2019 |
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- 6 rows from blog_post_hash in blog_post_tags