AWS Architecture Blog
Tag: machine learning
How Synthesia optimizes generative AI video inference on Amazon EC2 G7e instances
This post introduces a video decoding optimization technique that we have ideated in collaboration with Synthesia Research Engineering team, which we call Asynchronous Frame Generation Pipeline. Adopting this technique allows you to overlap GPU compute, device-to-host (D2H) data transfer, and host-side post-processing. In this post, we apply this technique to the VAE decoder of a Wan video generation model as an example, where our benchmarks on G7e show increased GPU kernel utilization from 82% to 99.9%, in turn leading to an 8.2% decrease in latency (and increase in throughput) for video decoding. We expect this technique to benefit any customer with a chunked video generation pipeline that transfers frames to host memory.
Top Architecture Blog Posts of 2024
Well, it’s been another historic year! We’ve watched in awe as the use of real-world generative AI has changed the tech landscape, and while we at the Architecture Blog happily participated, we also made every effort to stay true to our channel’s original scope, and your readership this last year has proven that decision was […]
Let’s Architect! Modern data architectures
Data is the fuel for AI; modern data is even more important for generative AI and advanced data analytics, producing more accurate, relevant, and impactful results. Modern data comes in various forms: real-time, unstructured, or user-generated. Each form requires a different solution. AWS’s data journey began with Amazon Simple Storage Service (Amazon S3) in 2006, […]
Let’s Architect! Learn About Machine Learning on AWS
A data-driven approach empowers businesses to make informed decisions based on accurate predictions and forecasts, leading to improved operational efficiency and resource optimization. Machine learning (ML) systems have the remarkable ability to continuously learn and adapt, improving their performance over time as they are exposed to more data. This self-learning capability ensures that organizations can […]
Let’s Architect! Discovering Generative AI on AWS
Generative artificial intelligence (generative AI) is a type of AI used to generate content, including conversations, images, videos, and music. Generative AI can be used directly to build customer-facing features (a chatbot or an image generator), or it can serve as an underlying component in a more complex system. For example, it can generate embeddings […]
Introducing the latest Machine Learning Lens for the AWS Well-Architected Framework
Today, we are delighted to introduce the latest version of the AWS Well-Architected Machine Learning (ML) Lens whitepaper. The AWS Well-Architected Framework provides architectural best practices for designing and operating ML workloads on AWS. It is based on six pillars: Operational Excellence, Security, Reliability, Performance Efficiency, Cost Optimization, and—a new addition to this revision—Sustainability. The […]
Mitigating DDoS with data science using AWS Shield Advanced and AWS WAF
This blog post helps customers in mitigating distributed denial-of-service (DDoS) using AWS Shield Advanced, AWS WAF, and data science. We explore how to use these services along with machine learning (ML) to detect and mitigate DDoS attacks. Bad actors conduct DDoS attacks using botnets. Through botnets, attackers look for zero-day vulnerabilities—specifically on network devices such […]
Detecting solar panel damage with Amazon Rekognition Custom Labels
Enterprises perform quality control to ensure products meet production standards and avoid potential brand reputation damage. As the cost of sensors decreases and connectivity increases, industries adopt real-time imagery analysis to detect quality issues. At the same time, artificial intelligence (AI) advancements enable advanced automation, reduce overall cost and project time, and produce accurate defect […]
Let’s Architect! Architecting with custom chips and accelerators
It’s hard to imagine a world without computer chips. They are at the heart of the devices that we use to work and play every day. Currently, Amazon Web Services (AWS) is offering customers the next generation of computer chip, with lower cost, higher performance, and a reduced carbon footprint. This edition of Let’s Architect! […]
Let’s Architect! Architecting for Machine Learning
Though it seems like something out of a sci-fi movie, machine learning (ML) is part of our day-to-day lives. So often, in fact, that we may not always notice it. For example, social networks and mobile applications use ML to assess user patterns and interactions to deliver a more personalized experience. However, AWS services provide […]






