Tag: AWS Batch

Don’t sacrifice performance OR ease of use with your HPC storage. Learn how Mountpoint for Amazon S3 combines high throughput and low latency with the simplicity of S3.

AWS is powering the future of self-driving cars. Check out this post to see how high performance computing is transforming agent-based models for the CARLA RAI Challenge.

See how agent-based models, driven to scale by HPC in the cloud, are shedding new light on macroprudential policies with this post from Oxford’s Institute for New Economic Thinking.

In this second part of using Nextflow for machine learning for life science workloads, we provide a step-by-step guide, explaining how you can easily deploy a Seqera environment on AWS to run ML and other pipelines.

Nextflow is popular workflow framework for genomics pipelines, but did you know you can also use it for machine-learning? ML is already being used for medical imaging, protein folding, drug discovery, and gene editing. In this post, we explain how to build an example Nextflow pipeline that performs ML model-training and inference for image analysis.

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 […]

AWS is developing new tools that enable easier and faster deployment of level 3/4 digital twins. This post discusses how a fleet calibrated level 3 digital twin can be cost effectively deployed on AWS Cloud.

In this blog post, we’ll explore how Green Urban Scenarios simulator (GUS) helps urban planners explore the impact of green infrastructure on the urban environment using digital twins and simulations scaled using AWS Batch.

Digital twins can be hard if they deviate from real-world behavior as real systems degrade and change over time. Today we’ll show digital twins that calibrate on operational data, using TwinFlow on AWS.

Today, we’re diving deep into the open-source frameworks that move MPI messages around, and showing you how work we did in the Open MPI and libfabrics community lead to an improvement for EFA users – and everyone else, too.