Mountpoint for Amazon S3 optimizes for repeated data access
Mountpoint for Amazon S3 can now cache data in Amazon EC2 instance storage, instance memory, or an Amazon EBS volume for repeated data access. This avoids redundant requests to Amazon S3 when you need to read the same data multiple times, which improves both the cost and performance of your application. For example, by using Mountpoint for Amazon S3 and caching data in Amazon EC2 instance storage, you can complete your machine learning training jobs up to 2x faster by avoiding redundant requests to Amazon S3.
Mountpoint for Amazon S3 can now cache data in Amazon EC2 instance storage, instance memory, or an Amazon EBS volume for repeated data access. This avoids redundant requests to Amazon S3 when you need to read the same data multiple times, which improves both the cost and performance of your application. For example, by using Mountpoint for Amazon S3 and caching data in Amazon EC2 instance storage, you can complete your machine learning training jobs up to 2x faster by avoiding redundant requests to Amazon S3.
Mountpoint for Amazon S3 is a file client that presents S3 objects as files in the local file system and translates local file system API calls to REST API calls on S3 objects. It is optimized for high performance, allowing your file-based applications to burst to terabits per second of aggregate throughput and make the most efficient use of your compute resources.
Mountpoint for Amazon S3 supports sequential and random read operations and sequential write operations for creating new files. It is an open source project backed by AWS support, which means customers with AWS Business and Enterprise Support plans get 24/7 access to cloud support engineers. To get started, visit the GitHub page and product detail page.