AWS HPC Blog
Tag: AWS Batch
Conceptual design using generative AI and CFD simulations on AWS
In this post we’ll show how generative AI, combined with conventional physics-based CFD can create a rapid design process to explore new design concepts in automotive and aerospace from just a single image.
Introducing a community recipe library for HPC infrastructure on AWS
Today we’re showing you our community library of HPC Recipes for AWS. It’s a public repo @github that will help you achieve feature-rich, reliable HPC deployments ready to run your workloads no matter where you’re starting from.
Real-time quant trading on AWS
In this post, we’ll show you an open-source solution for a real-time quant trading system that you can deploy on AWS. We’ll go over the challenges brought on by monitoring portfolios, the solution, and its components. We’ll finish with the installation and configuration process and show you how to use it.
How Amazon’s Search M5 team optimizes compute resources and cost with fair-share scheduling on AWS Batch
In this post, we share how Amazon Search optimizes their use of accelerated compute resources using AWS Batch fair-share scheduling to schedule distributed deep learning workloads.
Deep-dive into Hpc7a, the newest AMD-powered member of the HPC instance family
Today we discuss the performance results we saw from the new hpc7a instance, running HPC workloads like CFD, molecular dynamics, and weather prediction codes.
How computer vision is enabling a circular economy
In this post, we show how Reezocar uses computer vision to change the way they detect damage and price used vehicles for re-sale in secondary markets. This reduces landfill and helps achieve the goals of the circular economy.
Automate scheduling of jobs on AWS Batch and AWS Fargate with Amazon EventBridge
In this post we’ll show how to use AWS Batch, AWS Fargate and Amazon Event Bridge to create a job scheduling solution for containers that’s fully managed, serverless, and event-driven.
Improving NFL player health using machine learning with AWS Batch
In this post we’ll show you how the NFL used AWS to scale their ML workloads and produce the first comprehensive dataset of helmet impacts across multiple NFL seasons. They were able to reduce manual labor by 90% and the results beats human labelers in accuracy by 12%!
Diving Deeper into Fair-Share Scheduling in AWS Batch
Today we dive into details of AWS Batch fair share policies and show how they affect job placement. You’ll see the result of different share policies, and hear about practical use cases where you can benefit from fair share job queues in Batch.
How to make digital technologies for the circular economy work for your business
In this post, we discuss the benefits of digital technology for the circular economy, and show how businesses can implement these technologies to get the most out of them for the wellbeing of everyone.