AWS HPC Blog

Tag: HPC

Amazon’s renewable energy forecasting: continuous delivery with Jupyter Notebooks

Amazon’s renewable energy forecasting: continuous delivery with Jupyter Notebooks

You might associate the phrase ‘Jupyter Notebooks in production’ with a scrappy startup short on engineers or a hobbyist tinkering in their free time. However, this story unfolds at Amazon, where a team transitioned from requiring software engineers to replicate scientists’ work for production, to enabling scientists to seamlessly deploy Jupyter Notebooks into production. Amazon’s […]

Enhancing ML workflows with AWS ParallelCluster and Amazon EC2 Capacity Blocks for ML

Enhancing ML workflows with AWS ParallelCluster and Amazon EC2 Capacity Blocks for ML

No more guessing if GPU capacity will be available when you launch ML jobs! EC2 Capacity Blocks for ML let you lock in GPU reservations so you can start tasks on time. Learn how to integrate Caacity Blocks into AWS ParallelCluster to optimize your workflow in our latest technical blog post.

Create a Slurm cluster for semiconductor design with AWS ParallelCluster

Create a Slurm cluster for semiconductor design with AWS ParallelCluster

If you work in the semiconductor industry with electronic design automation tools and workflows, this guide will help you build an HPC cluster on AWS specifically configured for your needs. It covers AWS ParallelCluster and customizations specifically to cater to EDA.

Using a Level 4 Digital Twin for scenario analysis and risk assessment of manufacturing production on AWS

Using a Level 4 Digital Twin for scenario analysis and risk assessment of manufacturing production on AWS

This post was contributed by Orang Vahid (Dir of Engineering Services) and Kayla Rossi (Application Engineer) at Maplesoft, and Ross Pivovar (Solution Architect) and Adam Rasheed (Snr Manager) from Autonomous Computing at AWS One of the most common objectives for our Digital Twin (DT) customers is to use DTs for scenario analysis to assess risk […]