For network administrators (or anyone else who needs to dive deeper into Vertex AI and generative AI networking), Vertex AI networking documentation shows you how to configure and work with networking and traffic management features for your generative AI models and data, including the following topics:
Accessing the Vertex AI API
Learn about the different ways to access the Vertex AI API, such as available deployment endpoints, when to use a Shared VPC, and more.
Network access with Vertex AI
Information on the ways that you can use enterprise networking options to access the Vertex AI platform.
Accessing Vertex AI services through PSC endpoints
Information on how to access Vertex AI services through Private Service Connect endpoints.
Set up a PSC interface for Vertex AI resources
Learn how to set up a Private Service Connect interface for Vertex AI resources.
VPC Service Controls with Vertex AI
Learn how to mitigate the risk of data exfiltration by creating a service perimeter around your models, training data, and other critical resources.
Use Private Service Connect to access Generative AI on Vertex AI from on-premises
Learn to use High-Availability VPN (HA VPN) to access Generative AI on Vertex AI both publicly, through Cloud NAT; and privately, between two Virtual Private Cloud (VPC) networks that can serve as a basis for multi-cloud and on-premises private connectivity.
