AWS HPC Blog

Category: AWS Batch

Near-real-time energy production forecasts with NVIDIA Earth-2 and AWS Batch

Using AWS Batch and NVIDIA Earth-2, we built a scalable workflow that explores millions of scenarios at a fraction of the cost of traditional methods. This innovative approach not only provides rapid energy calculations, but also shows the potential of AI-driven meteorology.

How Amazon optimizes their supply chain with help from AWS Batch

How Amazon optimizes their supply chain with help from AWS Batch

This post was contributed by Michael Stalcup, Software Development Engineer at Amazon, and Angel Pizarro, Principal Developer Advocate at AWS. Amazon’s retail business, with its millions of products coming from hundreds of thousands of sellers, is in a constant state of optimization. It’s no surprise that there is team whose core mission is to provide […]

How vertical scaling and GPUs can accelerate mixed media modelling for marketing analytics

How vertical scaling and GPUs can accelerate mixed media modelling for marketing analytics

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 […]

Job queue snapshots: see what’s at the head of your queues in AWS Batch

Job queue snapshots: see what’s at the head of your queues in AWS Batch

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.