AWS HPC Blog
Tag: AWS Batch
Improve HPC workloads on AWS for environmental sustainability
Need to cut your carbon footprint without sacrificing productivity? Migrating HPC workloads to the cloud allowed Baker Hughes to reduce emissions by 99%! Get tips for optimizing compute, storage, networking so you can do better.
Simulating autonomous mining operations using Robotec.ai on AWS
Big changes are underway in mining – see how the Boliden Group simulates fleets of autonomous trucks using AWS Batch – for safety and efficiency.
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 […]
Harnessing the scale of AWS for financial simulations
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.
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.
An agent-based simulation of Amazon’s inbound supply chain
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.
Building an AI simulation assistant with agentic workflows
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.
Announcing: Seqera Containers for the bioinformatics community
Genomics community: rejoice! Seqera and AWS have teamed up to announce Seqera Containers, an open-source, no cost, reliable way to generate containers.
Using machine learning to drive faster automotive design cycles
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.
Announcing the High Performance Software Foundation (HPSF)
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.