Tag: Jeff Barr

After 20 years, and 3283 posts adding up to 1,577,106 words I am wrapping up my time as the lead blogger on the AWS News Blog. It has been a privilege to be able to “live in the future” and to get to learn and write about so many of our innovations over the last two decades: message queuing, storage, on-demand computing, serverless, and quantum computing to name just a few and to leave many others out. It has also been a privilege to be able to meet and to hear from so many of you that have faithfully read and (hopefully) learned from my content over the years. I treasure those interactions and your kind words, and I keep…

Equipped with up to eight AMD Field-Programmable Gate Arrays (FPGAs), AMD EPYC (Milan) processors with up to 192 cores, High Bandwidth Memory (HBM), up to 8 TiB of SSD-based instance storage, and up to 2 TiB of memory, the new F2 instances are available in two sizes, and are ready to accelerate your genomics, multimedia processing, big data, satellite communication, networking, silicon simulation, and live video workloads. A Quick FPGA Recap Here’s how I explained the FPGA model when we previewed the first generation of FPGA-powered Amazon Elastic Compute Cloud (Amazon EC2) instances One of the more interesting routes to a custom, hardware-based solution is known as a Field Programmable Gate Array, or FPGA. In contrast to a purpose-built chip…

Building on the work that we and our partners have been doing for many years, Amazon is committing up to $100 million in cloud technology and technical resources to help existing, dedicated learning organizations reach more learners by creating new and innovative digital learning solutions, all as part of the AWS Education Equity Initiative. The Work So Far AWS and Amazon have a long-standing commitment to learning and education. Here’s a sampling of what we have already done: AWS AI & ML Scholarship Program – This program has awarded $28 million in scholarships to approximately 6000 students. Machine Learning University – MLU offers a free program helping community colleges and Historically Black Colleges and Universities (HBCUs) teach data management, artificial…

AWS customers make use of Amazon Simple Storage Service (Amazon S3) at an incredible scale, regularly creating individual buckets that contain billions or trillions of objects! At that scale, finding the objects which meet particular criteria — objects with keys that match a pattern, objects of a particular size, or objects with a specific tag — becomes challenging. Our customers have had to build systems that capture, store, and query for this information. These systems can become complex and hard to scale, and can fall out of sync with the actual state of the bucket and the objects within. Rich Metadata Today we are enabling in preview automatic generation of metadata that is captured when S3 objects are added or…