Tag: AWS Batch

In marketing analytics, mixed media modeling (MMM) is a machine learning technique that combines information from various sources, like TV ads, online ads and social media to measure the impact of marketing and advertising campaigns. By using these techniques, businesses can make smarter decisions about where to invest their money for advertising, helping them get […]

Struggling with long compute times for numerical simulations in finance? See how AWS makes it simple to leverage the cloud for large-scale financial modeling. We walk through a real example using QuantLib and Monte Carlo methods.

AWS Batch just grew a neat new feature: Job queue snapshots. This gives you the visibility you need for managing throughput in a dynamic environment – with competing priorities – and across multiple queues and workloads. Today we give you the inside scoop on how this feature works – especially when you’re using fair share scheduling.

Hundreds of millions of products, the entire *first-mile* of distribution – learn how Amazon simulated their massive US supply chain, end-to-end, with help from a company called Simudyne.

Simulations provide critical insights but running them takes specialized people, which can slow everyone down. We show how a Simulation Assistant can use LLMs and agents to start these workflows via chat so you can get results sooner.

Genomics community: rejoice! Seqera and AWS have teamed up to announce Seqera Containers, an open-source, no cost, reliable way to generate containers.

Aerospace and automotive companies are speeding up their product design using AI. In this post we’ll discuss how they’re using machine learning to shift design cycles from hours to seconds using surrogate models.

We’re excited to share how we’re involved in launching the High Performance Software Foundation to increase access to and adoption of HPC. By bringing together key players to collaborate, we can lower barriers and accelerate development of portable HPC software stacks.

Realizing the $4.5 trillion circular economy opportunity requires accurate data, scalable HPC and agile tools. Read this post to discover how AWS and Accenture partner for real progress.

Get the inside scoop on optimizing your MPI apps and configuration for AWS’s powerful new Hpc7a instances. Dual rail gives these instances huge networking potential @ 300 Gb/s – if properly used. This post provides benchmarks, sample configs, and real speedup numbers to help you maximize network performance. Whether you run weather simulations, CFD, or other HPC workloads, you’ll find practical tips for your codes.