AWS Storage Blog
Author: James Bornholt
James Bornholt is an Amazon Scholar at Amazon Web Services, where he works on automated reasoning for Amazon S3.
Accelerate Amazon S3 throughput with the AWS Common Runtime
Data is at the center of every machine learning pipeline. Whether pre-training foundation models (FMs), fine-tuning FMs with business-specific data, or serving inference queries, every step of the machine learning lifecycle needs low-cost, high-performance data storage to keep compute resources busy and performing useful work. Customers use Amazon Simple Storage Service (Amazon S3) to store training data […]
The inside story on Mountpoint for Amazon S3, a high-performance open source file client
UPDATE (8/9/2023): Mountpoint for Amazon S3 is now generally available. For details, please read the What’s New post. Amazon S3 is the best place to build data lakes because of its durability, availability, scalability, and security. Hundreds of thousands of data lakes are built on S3, storing diverse sets of unstructured data for use in […]
How automated reasoning helps Amazon S3 innovate at scale
When we launched Amazon S3 a little over fifteen years ago, we put simplicity at the center of the customer experience. S3’s core API is just four REST commands (GET, PUT, LIST, and DELETE). Our customers tell us that they love the simplicity of S3 not just because of its API, but especially because of […]