Tag: Jeff Barr

My colleagues have spent months creating, reviewing, and improving the content for their upcoming AWS re:Invent sessions. While I do my best not to play favorites, I would like to tell you about one that recently caught my eye! Session ADM301 (Under the Hood at Amazon Ads) takes place on Tuesday, November 30th at 2 PM. In the session, my colleagues will introduce Amazon Ads, outline the challenges that come with building an advertising system at scale, and then show how they solved those challenges using multiple AWS services. I was able to review a near-final version of their presentation and this post is based on what I learned from that review. Amazon Ads uses an omnichannel strategy with four…

The AWS Free Tier has been around since 2010 and allows you to use generous amounts of over 100 different AWS services. Some services offer free trials, others are free for the first 12 months after you sign up, and still others are always free, up to a per-service maximum. Our intent is to make it easy and cost-effective for you to gain experience with a wide variety of powerful services without having to pay any usage charges. Free Tier Data Transfer Expansion Today, as part of our long tradition of AWS price reductions, I am happy to share that we are expanding the Free Tier with additional data transfer out, as follows: Data Transfer from AWS Regions to the…

The AWS Cloud Adoption Framework (AWS CAF) is designed to help you to build and then execute a comprehensive plan for your digital transformation. Taking advantage of AWS best practices and lessons learned from thousands of customer engagements, the AWS CAF will help you to identify and prioritize transformation opportunities, evaluate and improve your cloud readiness, and iteratively evolve the roadmaps that you follow to guide your transformation. Version 3.0 Now Available I am happy to announce the version 3.0 of the AWS CAF is now available. This version represents what we have learned since we released version 2.0, with a focus on digital transformation and an emphasis on the use of data & analytics. The framework starts by identifying…

Two years ago I told you about the then-new G4 instances, which featured up to eight NVIDIA T4 Tensor Core GPUs. These instances were designed to give you cost-effective GPU power for machine learning inference and graphics-intensive applications. Today I am happy to tell you about the new G5 instances, which feature up to eight NVIDIA A10G Tensor Core GPUs. Powered by second generation AMD EPYC processors, these instances deliver up to 40% better price-performance for inferencing and graphics-intensive operations in comparison to their predecessors. On the GPU side, the A10G GPUs deliver to to 3.3x better ML training performance, up to 3x better ML inferencing performance, and up to 3x better graphics performance, in comparison to the T4 GPUs…