Overview
The VNTANA Intelligent 3D Optimization Engine Container offers a streamlined solution for developers to incorporate advanced 3D file processing into their AWS-based applications and workflows. This container, deployable on AWS ECS Fargate, encapsulates VNTANA's patented Intelligent Optimization™ technology, automating the conversion and compression of 3D files from over 30 CAD and 3D formats into web, game engine, and VR/AR headset-ready assets.
Key features for developers:
-Easy deployment using AWS CDK with TypeScript -Configurable via environment variables or INI files for flexible infrastructure setup -Seamless integration with existing AWS services like S3, ECS, and CloudWatch -Supports custom VPC configuration and ECS cluster integration -Automatic scaling with ECS Fargate based on defined CPU and memory limits
The container leverages VNTANA's Intelligent Optimization™ to preserve visual quality while applying advanced techniques such as normal baking, instance detection, and obstructed geometry removal. It's designed to process 3D files efficiently, reducing manual optimization work and accelerating development cycles.
Deployment is straightforward using the provided CDK TypeScript project. Developers can easily configure the stack name, AWS region, VPC settings, S3 bucket integration, and ECS parameters to suit their specific needs. The solution also includes built-in logging capabilities through AWS CloudWatch for effective monitoring and troubleshooting.
This container is ideal for developers working on 3D-enabled applications in e-commerce, product visualization, or AR/VR experiences, allowing them to handle complex 3D processing tasks without requiring deep expertise in 3D technologies.
Highlights
- Deploy advanced 3D optimization capabilities on AWS ECS Fargate using familiar CDK and TypeScript
- Automate complex 3D file processing tasks, supporting over 30 input formats for web, mobile, and AR/VR platforms
- Easily configure and integrate with existing AWS infrastructure through environment variables or INI files
Details
Features and programs
Financing for AWS Marketplace purchases
Pricing
Dimension | Description | Cost/request |
|---|---|---|
Optimizations | Number of optimizations that have been run | $2.00 |
Vendor refund policy
VNTANA does not offer refunds for this product. By purchasing, you agree to this no-refund policy. However, we are committed to customer satisfaction and will work diligently to resolve any issues you may encounter. If you have questions or concerns, please contact our support team at support@vntana.com before making a purchase. We'll be happy to assist you and ensure our product meets your needs.
Legal
Vendor terms and conditions
Content disclaimer
Delivery details
Container Image
- Amazon ECS
- Amazon EKS
Container image
Containers are lightweight, portable execution environments that wrap server application software in a filesystem that includes everything it needs to run. Container applications run on supported container runtimes and orchestration services, such as Amazon Elastic Container Service (Amazon ECS) or Amazon Elastic Kubernetes Service (Amazon EKS). Both eliminate the need for you to install and operate your own container orchestration software by managing and scheduling containers on a scalable cluster of virtual machines.
Version release notes
Initial Release
Additional details
Usage instructions
Subscribing to this product gives you access to a custom container image with all the resources you need to manipulate 3D assets. Use this image with a Task engine like AWS Batch or for Jobs inside an EKS cluster.
The best way to deploy this service on your infrastructure is to use the AWS CDK constructs available on the example GitHub repository.
Infrastructure
Run the following steps to set up your infrastructure using this project:
- Ensure you have AWS CLI, NodeJS, and NPM installed on your system.
- Clone the project to a known location and run npm install from the project root to install all the required dependencies.
- Create a new .env file with your custom configuration. For more information about all available options, refer to the table in the project README.md.
- Ensure you have an AWS role with the necessary permissions to create the required resources.
- Run the main script to deploy the infrastructure: ./index.mjs synth --bootstrap --deploy. You'll be shown a list of resources deployed after confirmation.
Tip: You can create an alias around the ./index.mjs script to make it more memorable (e.g. alias modelops-cdk="./index.mjs".)
Once the process finishes successfully, you'll have a fully functional setup, ready to process any amount of 3D assets using VNTANA.
Scheduling
To schedule a new job, create a PipelineDefinition and provide it to the JobDefinition declared on the previously deployed JobQueue. There are many ways to do this, but we've included some straightforward commands to quickly get you started.
First, create a new PipelineDefinition, or look at some provided examples to see if they meet your needs. Pay special attention to the configurable options the pipeline exposes so you can tweak their execution at runtime.
Next, run the following command exposed by the main script:
modelops-cdk job run hello_world --watchThis command schedules a new Pipeline, waits for it to start running, then pipes the logs from the PipelineRun back to stdout.
For more information about how to craft you own PipelineDefinitions please visit the provided repository .
Resources
Vendor resources
Support
Vendor support
VNTANA offers professional support for our Intelligent 3D Optimization Engine Container to ensure seamless integration and operation within your AWS environment.
Support Details:
Hours: Monday to Friday, 8:00 AM to 6:00 PM Central Time (CT) Typical Response Time: 2-3 hours during support hours Contact: aws-support@vntana.com
Our support package includes:
Detailed product documentation Access to our knowledge base on 3D optimization and best practices Implementation and onboarding assistance for AWS deployment Unlimited support requests via email
Enterprise customers are eligible for a customized Service Level Agreement (SLA).
VNTANA is committed to your success with our product. We continuously update our knowledge base and documentation to address common questions and scenarios.
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.