Overview
Nowadays, transparency, explainability and security of AI models is more important than ever. Having a safe and secure environment to deploy your models enables you to continuously monitor your model performance with confidence and responsibility.
Easily integrate Deeploy Core with your existing AWS stack. Deploying and maintaining ML systems requires involvement of people and tools. Deeploy Responsible AI software giving data science teams autonomy to create and maintain their models.
The challenges Deeploy solves:
- A safe and responsible MLOps environment: organized and monitored deployments
- Explain and understand AI decisions: create human-AI interaction with experts
- Traceback how decisions are made: be able to correct, report and reproduce.
Highlights
- A safe and responsible MLOps environment: organized and monitored deployments
- Explain and understand AI decisions: create human-AI interaction with experts
- Traceback how decisions are made: be able to correct, report and reproduce
Details
Features and programs
Financing for AWS Marketplace purchases
Pricing
Free trial
Dimension | Description | Cost/unit/hour |
|---|---|---|
Hours | Container Hours | $0.07 |
Vendor refund policy
Deeploy Core is not eligible for refunds, but customers are free to cancel anytime.
Legal
Vendor terms and conditions
Content disclaimer
Delivery details
Main installation
- 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
1.43.0
Release notes
New features
- Team level audit logs
Team admins can now view a log of relevant events that happened in the team.
- Import PDF documentation
Import your existing PDF documentation at your Deployment's compliance documentation page.
- Deployment Version History
With the Deployment Version History you can view and manage previously deployed versions of your Deployment. Restore a version to update your deployment with the configuration that was used in a previous version.
- Alert severity and status
It is now possible to set a severity level on alert rules. For triggered alerts, a status has been added which can be used to follow up on triggered alerts.
Improvements
- Added new documentation templates based on the requirements of the EU AI Act
- Added support for custom headers for authentication purposes of external deployments.
- Compliance is split up in two separate pages; compliance documentation and compliance checklists
- Removed requirement for the request body schema of prediction requests for external models
- Improved error handling when creating Deployments
- Added additional information and error details for alerts to slack/webhooks.
Breaking changes
- Removed deprecated parameters evaluatedOnly, sortBy, direction for predictionLogs endpoint.
Bug fixes
- Fixed an issue where sorting on the event type in the Deployment events failed
- Fixed an issue with image width rendering for model-card.md and data-card.md
- Fixed an issue where the risk classification on external and registration Deployments wasn't saved properly
Additional details
Usage instructions
The general installation steps are as follows: a. Make sure to follow the installation steps as described here: https://docs.deeploy.ml/category/amazon-eks (start at step 2, since you already subscribed to the marketplace listing) b. Install the Deeploy software requirements and helm chart. For the latest stable release checkout: https://artifacthub.io/packages/helm/deeploy-core/deeploy . Use the Deeploy helm chart repository and follow the instructions in the README: https://gitlab.com/deeploy-ml/deeploy-install .
Resources
Vendor resources
Support
Vendor support
Default community support is included. Additional support and SLA are available on request: sales@deeploy.ml .
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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