Sold by: VNTANA Inc,
VNTANA's Intelligent 3D Model Operation Engine Container makes it easy to orchestrate custom 3D pipelines to automate 3D workflows for real-time applications. Our Intelligent Optimization accepts over 30 3D file formats for automated optimization and conversion to web and AR/VR formats. Utilize our rendering tool to automate screen shots and 360 videos or add in new tools easily.
Sold by: VNTANA Inc,
Overview
The VNTANA Intelligent 3D Model Operation Engine Container offers a streamlined solution for developers to incorporate advanced 3D file processing into their AWS-based applications. This container, deployable on AWS ECS Fargate, encapsulates VNTANA 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 ready assets. This includes options for:
Geometry Operations: -Proprietary decimation algorithm, which can reduce triangle counts by a factor of a 1000 while keeping the asset topology intact. -Obstructed geometry removal algorithm which removes all geometry which is not visible from the outside of the asset. -Small feature baking algorithm which bakes small geometric features like stitches to alpha masked quads. -Instance detection algorithms which detect mesh instances. -Various intelligent welding operations. -Degenerate polygon sanitization. -Intersecting geometry sanitization.
Material Operations: Remove unused and duplicate materials, images and textures, as well as unused image channels. Material alpha modes are also sanitized if they are incorrectly set (e.g. Blend materials that dont actually have any transparency).
Texture Operations: Optimize the image space of the input 3D asset, including but not limited to cropping, resizing to a specified texel density, atlassing and compression to PNG, JPEG or KTX
Texture Baking: UV space unwrapping and texture baking the high poly input asset to the decimated low poly asset. Differences in geometric normals are baked into normal maps, and optionally AO may be baked.
Preview Renders: Automatically generate 2D thumbnail images, 360 video renders and more from your 3D models.
Or easily add in new tools to customize your 3D workflow.
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.
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
- Customize advanced 3D optimization & conversion capabilities on AWS ECS Fargate using familiar CDK and TypeScript
- Automate complex 3D file processing tasks such as screen shots, 360 video creation, and more
- Easily configure and integrate with existing AWS infrastructure through environment variables or INI files
Details
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Delivery method
Delivery option
Container Image
Latest version
Operating system
Linux
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 | 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
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
Container Image
Supported services: Learn more
- HAQM ECS
- HAQM 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 HAQM Elastic Container Service (HAQM ECS) or HAQM Elastic Kubernetes Service (HAQM 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 HAQM Web Services.
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