You can now use deep learning framework Apache MXNet (0.12.0), GPU instance types P3 and P2, and the AWS Glue Data Catalog with Presto on Amazon EMR release 5.10.0. Apache MXNet is a scalable deep learning framework that allows you to define, train, and deploy deep neural networks. Furthermore, you can preinstall custom machine learning and deep learning libraries on an Amazon Linux Amazon Machine Image (AMI), and create your Amazon EMR clusters with that AMI. Additionally, Amazon EMR now supports Amazon EC2 P3 and P2 instances, EC2 compute-optimized GPU instances, for deep learning and machine learning workloads. Also, you can now use the AWS Glue Data Catalog to store external table metadata for Presto instead of utilizing an on-cluster or self-managed Hive metastore.