AWS Compute Blog

Category: Technical How-to

fire simulation picture

Fire Dynamics Simulation CFD workflow using AWS ParallelCluster, Elastic Fabric Adapter, Amazon FSx for Lustre and NICE DCV

This post was written by By Kevin Tuil, AWS HPC consultant  Modeling fires is key for many industries, from the design of new buildings, defining evacuation procedures for trains, planes and ships, and even the spread of wildfires. Modeling these fires is complex. It involves both the need to model the three-dimensional unsteady turbulent flow […]

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Fault-tolerant microservices architecture

Building resilient serverless patterns by combining messaging services

Queues, publish/subscribe services, and event buses are important parts of a resilient, well-architected serverless application. These are provided in AWS by SQS, SNS, and EventBridge.

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Creating an EC2 instance in the AWS Wavelength Zone

Creating an EC2 instance in the AWS Wavelength Zone This blog post is contributed by Saravanan Shanmugam, Lead Solution Architect, AWS Wavelength AWS announced Wavelength at re:Invent 2019 in partnership with Verizon in US, SK Telecom in South Korea, KDDI in Japan, and Vodafone in UK and Europe. Following the re:Invent 2019 announcement, on August […]

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Folding@home infectious disease research with Spot Instances

This post was contributed by Jarman Hauser, Jessie Xie, and Kinnar Kumar Sen. Folding@home (FAH) is a distributed computing project that uses computational modeling to simulate protein structure, stability, and shape (how it folds). These simulations help to advance drug discoveries and cures for diseases linked to protein dynamics within human cells. The FAH software crowdsources its distributed […]

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TensorFlow Serving on Kubernetes with Amazon EC2 Spot Instances

This post is contributed by Kinnar Sen – Sr. Specialist Solutions Architect, EC2 Spot TensorFlow (TF) is a popular choice for machine learning research and application development. It’s a machine learning (ML) platform, which is used to build (train) and deploy (serve) machine learning models. TF Serving is a part of TF framework and is […]

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