Sold by: Simvia
Deployed on AWS
Advanced CFD simulation environment featuring Code_Saturne v9.0.2 and NICE DCV. Open-source platform for incompressible and compressible flow simulation, including advanced turbulence modeling and heat transfer. Pre-configured on Ubuntu 22.04 LTS with web-based GUI access, enabling seamless remote visualization and efficient cloud or HPC engineering workflows.
Overview
This AMI provides Code_Saturne v9.0.2, an open-source CFD solver developed by EDF R&D, fully pre-configured with NICE DCV.
KEY FEATURES:
- Fully installed Code_Saturne v9.0.2 with validated dependencies
- Integrated NICE DCV for secure, high-performance graphical access
- Pre-configured Ubuntu 22.04 LTS environment
- Ready-to-run CFD workflows for rapid case setup and execution
- Optimized for scalable deployment on AWS cloud infrastructure
TECHNICAL CAPABILITIES: Advanced turbulence modeling (RANS, LES, DES), conjugate heat transfer, Lagrangian particle tracking, parallel computing with MPI, as well as pre- and post-processing tools for mesh handling and result analysis.
Highlights
- Complete CFD simulation environment with Code Saturne v9.0.2 pre-installed and configured
- NICE DCV remote desktop for secure web-based GUI access from any browser
- Optimized for AWS cloud with support for parallel computing and scalable instances
Details
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Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Ubuntu 22
Deployed on AWS
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Pricing
This product is available free of charge. Free 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.
Dimensions summary
This listing is free software, so you pay only for the AWS compute you run it on. You choose between two EC2 instance sizes, both billed by the hour: t3.large or t3.medium. The t3.large gives you more compute resources per hour, while the t3.medium offers a smaller footprint. Neither dimension carries a license fee for the CFD software itself. Your cost scales with the instance size you pick and the number of hours you run it. Pick t3.medium for lighter simulations and t3.large for heavier workloads.
Top-of-mind questions for buyers
Both are AWS EC2 general-purpose instances billed by the hour. The t3.large provides more virtual CPUs and memory per hour than the t3.medium. You pick the size to match your simulation load, and the hourly charge reflects only the AWS compute you run.
Hourly charges apply only while the instance runs. Fully stopped instances do not accrue compute charges. Stopped instances may still incur AWS storage fees for attached volumes, but the software itself carries no license fee at any time.
The software supports MPI parallelisation and can run on clusters or cloud environments. You pay per running instance-hour for each instance you launch. Running more or larger instances raises your total AWS compute cost proportionally, since each is billed independently by the hour.
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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
.
Additional details
Usage instructions
Code Saturne CFD v9.0.2 with DCV Remote Desktop - Usage Instructions
QUICK START GUIDE
Step 1: Launch Your Instance
-
Select Instance Type:
- Minimum: t3.medium (2 vCPU, 4 GB RAM)
- Recommended: t3.large (2 vCPU, 8 GB RAM)
- Performance: c5.large or c5.xlarge for complex simulations
-
Configure Security Garoup: Create or select a security group with these inbound rules:
- SSH: Port 22 (Source: Your IP)
- DCV: Port 8443 (Source: Your IP)
- HTTPS: Port 443 (Source: Your IP - optional)
-
Launch with your SSH key pair
Step 2: Connect via SSH
Connect to your instance ssh -i your-key.pem ubuntu@YOUR-INSTANCE-PUBLIC-IP
Example: ssh -i my-keypair.pem ubuntu@54.123.45.67
Step 3: Configure DCV Access
Set password for ubuntu user (required for DCV login) sudo passwd ubuntu Enter your desired password when prompted
Start DCV server (if not already running) sudo systemctl start dcv-server sudo systemctl enable dcv-server
Check DCV status sudo systemctl status dcv-server
Create DCV session (if needed) dcv create-session --type=virtual --user ubuntu desktop
Step 4: Access DCV Remote Desktop
- Open your web browser
- Navigate to: https://YOUR-INSTANCE-PUBLIC-IP:8443
- Accept the security certificate (self-signed)
- Login credentials:
- Username: ubuntu
- Password: [password you set in Step 3]
Step 5: Launch Code Saturne Once connected to the DCV desktop:
- Open Terminal (Ctrl+Alt+T or click terminal icon)
- Launch to Code Saturne GUI: code_saturne gui
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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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