Overview
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Scale-Out Computing on AWS helps customers deploy and operate a multiuser environment for computationally intensive workflows, such as computer-aided engineering (CAE). This AWS Solution features a large selection of compute resources, a fast network backbone, unlimited storage, and budget and cost management directly integrated within AWS.
Benefits
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Deploy and set up an example user interface (UI) with a common set of APIs that allow the administrator and users to interact with their Amazon Elastic Compute Cloud (Amazon EC2) cluster.
Help users easily access the EC2 cluster to perform any pre- and post-processing visualization actions through Desktop Cloud Visualization (DCV) graphical sessions.
Ingest schedulers and application logs in near real-time, and then store them in the data lake for further processing.
Customize and extend a collection of scripts deployed with the solution to help users collect data and run common cluster tasks.
Technical details
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You can automatically deploy this architecture using the implementation guide.
Step 1
Amazon EC2 Auto Scaling automatically provisions the resources necessary to run cluster user tasks such as scale-out compute jobs.
Total results: 21
- Headline
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Engineering & Design
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Manufacturing & Industrial
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Aerospace & Satellite
Total results: 1
- Publish Date
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- Version: 2.7.4
- Released: 07/2023
- Author: AWS
- Est. deployment time: 35 mins
- Estimated cost: See details
Related content
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This video shows a re:Invent 2020 presentation detailing how how Rivian overcame obstacles and improved the engineering experience while encouraging self-service with cloud-based services and automation.
This video demonstrates how to implement Scale-Out Computing on AWS to deploy and operate a multiuser environment for computationally intensive workflows.