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Secure, unlimited storage to ensures efficiency as well as high and continuous data access demand.
Virtual server integration for 3D Rendering, AI or ML
Enhance application capacity and availability.
Secure your exclusive advance order today and gain priority access to an all-inclusive stack for AI development, driven by NVIDIA’s powerful technology!
FPT Web Application Firewall provides powerful protection for web applications
Advanced virtual server with rapid scalability
Backup and restore data instantly, securely and maintain data integrity.
Advanced virtual server with rapid scalability
Secure your exclusive advance order today and gain priority access to an all-inclusive stack for AI development, driven by NVIDIA’s powerful technology!
Enhance application capacity and availability.
Backup and restore data instantly, securely and maintain data integrity.
Recovery, ensuring quick operation for the business after all incidents and disasters.
Diverse throughput and capacity to meet various business workloads.
Secure, unlimited storage to ensures efficiency as well as high and continuous data access demand.
FPT Web Application Firewall provides powerful protection for web applications
Intelligent and Comprehensive Virtual Web Application Firewall - Security Collaboration between FPT Cloud and Penta Security.
The Next generation firewall security service
Easily store, manage, deploy, and secure Container images
Safe, secure, stable, high-performance Kubernetes platform
Provided as a service to deploy, monitor, backup, restore, and scale MongoDB databases on cloud.
Provided as a service to deploy, monitor, backup, restore, and scale Redis databases on cloud.
Provided as a service to deploy, monitor, backup, restore, and scale PostgreSQL databases on cloud.
The service automatically initiates, maintains, manages, and protects APIs of any sizes.
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Detailed Configuration Information for a Deployment
Detailed Configuration Information for a Deployment
1. Model Configuration Information
Go to AI Platform → Model Serving → Deployment → Deployment Name → Model Settings
In the Model Settings section, users can modify the configurations of Image Information as follows:
| Information | Description | Available Actions |
|---|---|---|
| Model Name | The AI model to be deployed | Edit to change the information |
| Model Version | The version of the AI model to be deployed | Edit to change the information |
| Model Token | Authentication token for the Model Registry to deploy the model | Edit to change the information |
| Model URL | The path to the location where the model is stored (Model Registry) | Edit to change the information |
| Image Registry | The link to the container image storage | Edit to change the information |
| Image Tag | The version of the container image | Edit to change the information |
| Username | User account for authentication with the Private Registry | Edit to change the information |
| Password | User password for authentication with the Private Registry | Edit to change the information |
Note:
| Topic | Description |
|---|---|
| Image Tag | When the Image Tag is changed, the Deployment will recreate instances with the newly declared version. Depending on the Deployment strategy, the recreation may or may not involve downtime. • Recreate: The instance is recreated with downtime during the initialization of the new Image Tag • Rolling: Instances are replaced gradually, with no downtime, but a certain amount of backup resources is required (by default, equivalent to the resources of one instance) |
| Model Version | Similar to the Image Tag, when the Model Version is changed, the Deployment will recreate instances with the newly declared version. Depending on the Deployment strategy, the recreation may or may not involve downtime. Edit the Model Version when upgrading or changing the version of the model. |
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