Google Vertex AI Model Registry
A central repository to manage your ML models.
Overview
Vertex AI Model Registry provides a centralized place to manage the lifecycle of your ML models. You can organize your models, track different versions, and deploy them to production. It supports models trained in Vertex AI and those trained externally.
āØ Key Features
- Centralized Model Management
- Model Versioning
- Model Aliases
- Integration with Vertex AI Pipelines and Endpoints
- Support for custom-trained and AutoML models
šÆ Key Differentiators
- Seamless integration with other Google Cloud services like BigQuery and AI Platform
- Unified MLOps platform with Vertex AI
- Leverages Google's advanced AI and ML infrastructure
Unique Value: Provides a unified and serverless platform for managing and deploying ML models at scale on Google Cloud.
šÆ Use Cases (4)
ā Best For
- Retail for demand forecasting models
- Media for content recommendation engines
š” Check With Vendor
Verify these considerations match your specific requirements:
- Organizations not using the Google Cloud Platform
š Alternatives
Offers a more integrated experience with Google's data and analytics services compared to third-party tools.
š» Platforms
š Integrations
š Support Options
- ā Email Support
- ā Live Chat
- ā Phone Support
- ā Dedicated Support (Google Cloud Premium Support tier)
š Compliance & Security
š° Pricing
ā 90-day free trial
Free tier: Part of the Google Cloud Free Tier, which includes a certain amount of Vertex AI usage for free.
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