Sold by: Simudyne
Deployed on AWS
This product has charges associated with it for the Simudyne SDK software license, usage of the Microsoft Windows operating system - as well as AWS machine costs. Simudyne is a Software Development Kit (SDK) that allows users to build agent-based models. These models empower users to reflect the complexity of the real world. The SDK can build tiny details and general concepts into its models, unifying macro and micro modelling.
4.5
Overview
This is a repackaged software product wherein additional charges apply for the proprietary Simudyne SDK software libraries on-top of existing AWS instance costs. The Simudyne SDK can model a wide variety of situations and concepts, including the increase of complexity over time, the emergence of new entities, the way a system responds to feedback, and the process of contagion. The Simudyne SDK is running on an Amazon Linux 2023 machine. Other software has been installed included Java and Apache Maven in order to support the ability to develop and run Simudyne SDK simulations.
Highlights
- The modelling core uses objects called agents to mirror the real world at every level of detail. These agents communicate with each other by sending messages. The agents and messages mimic real world interactions, as well as the effects of those interactions over time.
- Models built with the Simudyne SDK are optimized to run quickly on either single machines or distributed systems. They can be distributed over any number of nodes in larger systems. These nodes can be local hardware or on a cloud, as necessary. When many copies of the same model are running on nodes, the SDK returns a distribution of outcomes combining all successful runs.
- The Simudyne AMI includes the supplykit module which provides a set of classes for quickly defining and building a network-based simulation of a supply chain. The API sits on top of the core abm modules allowing you to implement supply chain models characterized by distribution facilities, the products and goods they process, and the transport methods involved in driving the flow throughout the network.
Details
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Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
AmazonLinux kernel-6.1-x86_64
Deployed on AWS
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Pricing
Pricing is based on a fixed subscription cost and actual usage of the product. You pay the same amount each billing period for access, plus an additional amount according to how much you consume. The fixed subscription cost is prorated, so you're only charged for the number of days you've been subscribed. 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.
- Monthly subscription
- $1,250.00/month
Dimension | Cost/hour |
|---|---|
r6i.2xlarge Recommended | $1.00 |
r6in.4xlarge | $1.00 |
r7i.16xlarge | $1.00 |
r6i.8xlarge | $1.00 |
r6a.32xlarge | $1.00 |
r6in.2xlarge | $1.00 |
r7i.8xlarge | $1.00 |
r7i.48xlarge | $1.00 |
r6i.16xlarge | $1.00 |
r7a.12xlarge | $1.00 |
Vendor refund policy
No Refunds. All sales are final, and Simudyne does not offer any money-back guarantees. You recognize and agree that you shall not be entitled to a refund for any purchase of the Software and Services under any circumstances.
Legal
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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
Additional details
Usage instructions
For a full guide: https://docs.simudyne.com/reference/run_deploy/aws
- The first step is to make a few changes to your pom.xml. You'll add the maven and docker shade plugin which allows you to easily package for deployment. For an example of this pom file please refer to: https://docs.simudyne.com/reference/run_deploy/aws#packaging-your-model
- Once your pom has been updated you can the package everything into a single jar (allinone) by running 'mvn clean compile package -s settings.xml' inside the project's folder. Next we'll create our instance. We'll outline the steps below, but you can always refer to the Official AWS Documentation for guidance on setting up a new instance.
- Open the Amazon EC2 console at https://console.aws.amazon.com/ec2/ and select the orange Launch instance button.
- Set a name for your instance, and then select Amazon Linux instance and then search for the Simudyne Amazon Machine Image (AMI).
- You'll then select the instance type. If you are just trying to deploy for your first time to ensure that everything works, you can use the the r6i selected by default based on your region.
- Under Key pair (login) select 'Create new key pair' (unlesss you have already created or associated a key pair, or one has been assigned to you)
- Follow the steps to create a key pair, and make sure to select .pem for Linux. Make sure you store this in a secure location as it will be necessary to connect to the instance.
- Under Network Settings unless you have already created a Security Group you will likely want to proceed with the default which will create one for you.
- If your goal with this deployment is to access the SDK either via the console, or via a dashboard created with the REST API you will then want to select the boxes allowing for HTTP/HTTPS traffic. However if you are running directly in the command line, then you will not need to choose these options.
- Keep the default selections for the other configuration settings for your instance.
- Finally from the summary panel on the right when you're ready, choose Launch instance. This will take a few minutes to complete. New we'll start adding our files
- Once you have created your instance you'll then want to find it's IP Address or Public DNS. If you followed the above steps and were taken to your new instance you should see this on the summary screen for the instance. Otherwise go to https://console.aws.amazon.com/ec2/ and select instances, and finally your desired instance.
- First we'll connect to our instance directly via SSH. Per the above steps on creating a key pair you should have either a .pem or .ppk file dependent on your workstation. If you followed the above steps your default root username will be 'ec2-user'.
- Please follow the steps for connecting via SSH to a machine per your current workstation operating system. Ensure that your private key is included as part of this connection.
- Once you have connected directly via SSH we now will want to move our relevant files to the instance. There are multiple ways you could do this either via SFTP, usage of an online File Share (Dropbox/Sharepoint/etc), or alternatively uploading/downloading via an S3 Bucket The files we'll need to move are a packaged FatJAR file that you created above a Simudyne license file a simudyneSDK.properties file
- Once everything has been moved and you are connected to machine running is as simple as java -jar NAMEOFYOURJARHERE.jar. Of course if this is meant to be a long running process (aka not a batch style run, but something accessible via the web) you will want to use tools to keep the process running after your close your login session. For Linux the recommendation Simudyne suggests would be 'tmux' which you can find a tmux beginner's guide here. https://www.redhat.com/sysadmin/introduction-tmux-linux
Resources
Vendor resources
Support
Vendor support
The best option for getting support is to email support@simudyne.com
Currently there are 2 tiers of support for the Simudyne SDK.
- Limited to no support is available for those using a free or trial license.
- Dedicated support-team and developers will be assigned to any tickets created via our email system above if you have purchased a license.
- During contract discussions businesses may request "modeling support" which involves assigning a member of our team or more likely a 3rd-party partner to said contract to provide support beyond technical, development, or deployment issues in order to help build the underlying model.
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.
Updated weekly
By Simudyne
By Siemens Digital Industries Software
By Domino Data Lab
Sentiment is AI generated from actual customer reviews on AWS and G2
Functionality
Ease of use
Customer service
Cost effectiveness
Positive reviews
Mixed reviews
Negative reviews
AI generated from product descriptions
Agent-Based Modeling Architecture
Models utilize agents as objects that mirror real-world entities at multiple levels of detail, with agents communicating through message passing to simulate real-world interactions and their effects over time.
Distributed Execution Capability
Models can be optimized to run on single machines or distributed across multiple nodes in larger systems, with support for local hardware or cloud deployment, and capability to aggregate outcomes from multiple model runs.
Supply Chain Simulation Module
Includes supplykit module providing classes for network-based supply chain simulation with API supporting distribution facilities, product/goods processing, and transport method modeling.
Complex System Modeling Support
Supports modeling of complex scenarios including increasing complexity over time, emergence of new entities, system feedback responses, and contagion processes.
Development Environment Integration
Runs on Amazon Linux 2023 with Java and Apache Maven pre-installed to support development and execution of simulations.
Performance-Based Systems Engineering
Enables viewing of entire product lifecycle from component concept to final operational use with performance-based systems engineering methodology.
Advanced Simulation and Modeling
Provides complex modeling capabilities to predict behavior, enhance accuracy, and support early-stage design validation.
Design Space Exploration
Allows comprehensive exploration of design space using complex models to discover new designs, optimize performance, and improve robustness.
AI-Driven Engineering Automation
Incorporates AI-driven engineering capabilities with scalable, cloud-based processes and automated workflows for rapid response to design changes.
Digital Thread Integration
Integrates simulation models and product data across processes with a digital thread that maintains traceability throughout the development environment.
Self-Service Infrastructure Access
One-click, governed access to data, tools, and compute resources through a self-service portal with support for open-source tools including Jupyter, RStudio, SAS, Anaconda, MATLAB, and distributed compute frameworks like Spark, Ray, Dask, and MPI.
Centralized Knowledge Management
Central hub for AI operations and knowledge across the enterprise enabling reproducibility, reusability, and cross-functional collaboration with audit-ready platform capabilities.
Integrated MLOps Workflows
End-to-end model development, deployment, and monitoring capabilities within a unified platform with support for preferred tools and languages, including seamless integration with Amazon SageMaker.
Multi-Cloud and Hybrid Deployment
Support for deployment across public cloud, hybrid, and multi-cloud environments through Domino Nexus, enabling workload execution across any compute cluster in any cloud, region, or on-premises infrastructure.
Model Governance and Compliance
Turnkey model governance, monitoring, and remediation with robust controls for compliance, reproducibility tracking, and audit-ready processes designed for regulatory requirements including GxP processes.
Standard contract
No
No
Customer reviews
reviewer2167305
Migration to managed infrastructure has reduced costs and simplifies daily operations
Reviewed on Feb 22, 2026
Review from a verified AWS customer
What is our primary use case?
We were using Amazon EC2 instances for our day-to-day life activities and also some of their services like S3 , IAM , and CloudWatch with Simudyne SDK on Amazon Linux 2023 .
I'm not currently working with Simudyne SDK on Amazon Linux 2023 , but I had experience with it. For example, if someone's account had been getting locked, we would unlock their accounts, and if we wanted to bring up a new EC2 instance, we would handle those things as infrastructure work.
Simudyne SDK on Amazon Linux 2023 was deployed as a private cloud in my organization.
What is most valuable?
In my opinion, the best features of Simudyne SDK on Amazon Linux 2023 are that it was quick, fast, robust, and very easy to use. A non-technical person would understand it very quickly.
The EC2 instance was very easy to use when compared to GCP, which is what makes Simudyne SDK on Amazon Linux 2023 so user-friendly. I have experience with GCP as well, but Amazon is very easy and fast.
We have saved a lot of cost by having Amazon's in-built infrastructure with Simudyne SDK on Amazon Linux 2023. Instead of creating our own servers or giving access to users on those servers, which was very difficult, it was very easy to use Amazon, and we simply pay them.
What needs improvement?
Simudyne SDK on Amazon Linux 2023 is pretty much good overall. It would be much better if the same features were also available on GCP. However, Amazon Linux is very good and does not require significant improvements.
For how long have I used the solution?
I have two years of experience using Simudyne SDK on Amazon Linux 2023.
What do I think about the stability of the solution?
Simudyne SDK on Amazon Linux 2023 is stable.
What do I think about the scalability of the solution?
Scalability for Simudyne SDK on Amazon Linux 2023 is pretty much good.
How are customer service and support?
Customer support for Simudyne SDK on Amazon Linux 2023 is awesome and the best in the market. I would rate the customer support as a 10.
How would you rate customer service and support?
Positive
Which solution did I use previously and why did I switch?
I did not previously use a different solution before using Simudyne SDK on Amazon Linux 2023.
What was our ROI?
We have definitely seen a return on investment with Simudyne SDK on Amazon Linux 2023. Money and time were saved with this purchase. Instead of having our own infrastructure, we took it from Amazon, and it was a good purchase for us. I believe we saved approximately $150,000 in a year.
The cost savings from using Simudyne SDK on Amazon Linux 2023 compared to building our own infrastructure would be around $40,000 to hundreds of thousands of dollars.
Which other solutions did I evaluate?
I did not evaluate other options before choosing Simudyne SDK on Amazon Linux 2023. It was a company decision to use this solution.
What other advice do I have?
My overall experience with Simudyne SDK on Amazon Linux 2023 has been all good.
If people want to go with an SDK on Amazon, I believe Simudyne SDK on Amazon Linux 2023 is the best one available. Amazon is the best in the market. I have been working with Google and have experience with Amazon, and Amazon SDK is easy to use. Simudyne SDK on Amazon Linux 2023 is very fast and easy to learn for a newcomer.
I would rate this review a 9 out of 10.
Which deployment model are you using for this solution?
Private Cloud