Sold by: Insight Softmax Consulting
Deployed on AWS
This is a high-performance interactive desktop for 3D Visualization tasks. ParaView is pre-installed to support a wide range of 3D file formats. Amazon DCV provides a performant remote display connection.
Overview
The system comes with Ubuntu Desktop, Amazon DCV, and ParaView pre-installed and configured. This is an ideal workstation for visualization of datasets in an HPC cluster environment.
An NVIDIA GPU is required for the desktop environment to function. Amazon DCV is free to use on EC2. For instances that run longer than 30 days, ensure that the instance can access the DCV license from S3. See the DCV documentation for details.
Highlights
- Amazon DCV for high-performance GUI sessions
- ParaView for visualizing a wide range of 3D formats
Details
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Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Ubuntu 24.04
Deployed on AWS
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Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Cost/hour |
|---|---|
g4dn.2xlarge Recommended | $0.14 |
g4dn.12xlarge | $0.40 |
g4dn.16xlarge | $0.50 |
g4dn.xlarge | $0.10 |
g4dn.4xlarge | $0.20 |
g4dn.metal | $0.60 |
g4dn.8xlarge | $0.30 |
Vendor refund policy
Currently we are unable to provide refunds.
We are happy to help support the product. For any issues, please contact support@insightsoftmax.com
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
Removed default password setting
Additional details
Usage instructions
Instructions:
-
Launch an EC2 instance using this AMI.
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Connect to the instance via SSH as the user ubuntu.
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Set a password via the command:
sudo passwd ubuntu
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In a web browser, navigate to the url below, replacing PUBLIC-IP the instance's public ip address or dns name: https://PUBLIC-IP:8443/#console
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Log in as the user ubuntu with the password you set in step 3.
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When you see the GDM login screen, click Ubuntu and enter the same password once again.
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Run ParaView from the dock at the bottom of the screen.
IAM policies: When using an instance for more than 30 days, you must make sure the instance can access the DCV license via S3. See the DCV User Guide for details: https://docs.aws.amazon.com/dcv/latest/adminguide/setting-up-license.html#setting-up-license-ec2
Support
Vendor support
If you encounter any issues or need help with the AMI, contact us at support@insightsoftmax.com
Our support is available via email with a 16/4.5 schedule on the USA Pacific time zone: Monday - Thursday 08:00 PT - 16:00 PT and Friday 08:00 - 12:00 PT. While we generally respond within 2-4 hours, at maximum we will respond within 2 business days.
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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