Gemini Enterprise Agent Platform Vision

Related topics

• Cloud Vision API is an alternative to Gemini Enterprise Agent Platform Vision From the official documentation: “To migrate, see the [Cloud Vision API](/vision/docs), [Agent Platform serverless training](/gemini-enterprise-agent-platform/machine-learning/training/overview), or [Agent Platform models](/gemini-enterprise-agent-platform/models).”
• Gemini Enterprise Agent Platform Vision works with Vertex AI From the official documentation: “After you create a dataset with a representative collection of data in Vertex AI, you can train a model to use in Gemini Enterprise Agent Platform Vision.”
• VPC Service Controls secures Gemini Enterprise Agent Platform Vision From the official documentation: “The API for Gemini Enterprise Agent Platform Vision can be protected by VPC Service Controls and the product can be used normally inside service perimeters.”
• Model Armor works with Vertex AI From the official documentation: “The following example enables Model Armor on a Vertex AI endpoint.”
• BigQuery works with Dataflow From the official documentation: “Read from BigQuery to Dataflow”
• VPC Service Controls secures BigQuery From the official documentation: “BigQuery data is protected with VPC Service Controls”
• BigQuery works with Cloud Run functions From the official documentation: “BigQuery supports external function calls through Cloud Run functions.”
• BigQuery works with Gemini Enterprise Agent Platform From the official documentation: “The BigQuery dataset stores all versions for the associated Gemini Enterprise Agent Platform dataset.”
• Vertex AI is part of Gemini Enterprise Agent Platform From the official documentation: “Vertex AI's services are now part of Gemini Enterprise Agent Platform.”
• Cloud Run is an alternative to Cloud Run functions From the official documentation: “To create remote functions, you must [grant required roles](/bigquery/docs/remote-functions#grant_permission_on_function) to Cloud Run functions or Cloud Run.”
• Cloud Run works with Cloud Vision API From the official documentation: “Use Cloud Run, Cloud Vision API, and ImageMagick to detect and blur offensive images uploaded to a Cloud Storage bucket.”
• Cloud Run works with Vertex AI From the official documentation: “The Cloud Run service can interact with Vertex AI services.”
• Cloud Vision API works with Dataflow From the official documentation: “The Dataflow pipeline sends the images to Vision API.”
• Gemini Enterprise Agent Platform works with Model Armor From the official documentation: “If you use floor settings for the [Agent Platform integration](/model-armor/model-armor-vertex-integration), all Model Armor features are available in the following locations.”
• Model Armor secures Vertex AI From the official documentation: “The following example enables Model Armor on a Vertex AI endpoint.”
• VPC Service Controls secures Gemini Enterprise Agent Platform From the official documentation: “The API for Agent Platform can be protected by VPC Service Controls and the product can be used normally inside service perimeters.”
• BigQuery works with Cloud Run From the official documentation: “You can then use Cloud Run to transcode data present in the bucket and move it to BigQuery.”
• BigQuery works with Vertex AI From the official documentation: “The page provides guidance for getting predictions from Vertex AI, based on retail [data exported into BigQuery](/retail/docs/export-data-into-bq).”
• Cloud Run functions depends on Cloud Run From the official documentation: “Cloud Run functions (2nd gen) is based on Cloud Run and has a limit of 100 database connections per instance.”
• Model Armor secures Gemini Enterprise Agent Platform From the official documentation: “This document describes how to configure Model Armor to protect Gemini models on Gemini Enterprise Agent Platform by screening prompts and responses.”
• BigQuery is an alternative to Dataflow From the official documentation: “To automate the EDA process, use BigQuery or a managed data processing service like Dataflow.”
• BigQuery works with VPC Service Controls From the official documentation: “BigQuery integrates with VPC Service Controls to restrict access to your BigQuery resources from specific networks.”
• Cloud Run works with Dataflow From the official documentation: “Route Dataflow events to Cloud Run”
• Cloud Run is an alternative to Gemini Enterprise Agent Platform From the official documentation: “The application that's deployed on Cloud Run or on Gemini Enterprise routes the request to the SOC manager.”
• Cloud Run functions is part of Cloud Run From the official documentation: “| Cloud Run functions | Standalone functions on Cloud Run. |”
• Cloud Run functions works with Cloud Vision API From the official documentation: “Cloud Run functions have access to the Google Service Account credential and are thus seamlessly authenticated with the majority of Google Cloud services, including Cloud Vision, as well as many others.”
• Cloud Run functions works with Vertex AI From the official documentation: “- **Vertex AI custom model** node: Use Cloud Run functions to post-process prediction results from the original Vertex AI custom model.”
• Cloud Run functions works with VPC Service Controls From the official documentation: “To use Cloud Run functions with VPC Service Controls, you must configure your Cloud Build service account (whether default or [custom](/functions/docs/securing/build-custom-sa)) to have access to your service perimeter.”
• Dataflow works with Vertex AI From the official documentation: “Vertex AI models are subject to [Rate Limits and Quotas](https://cloud.google.com/vertex-ai/generative-ai/docs/quotas#view-the-quotas-by-region-and-by-model) and Dataflow automatically retries throttled requests with exponential backoff.”
• Dataflow works with VPC Service Controls From the official documentation: “To customize DNS resolution when using Dataflow with VPC Service Controls, use Cloud DNS [private zones](/dns/docs/overview#dns-private-zones) instead of using custom BIND servers.”
• Gemini Enterprise Agent Platform works with VPC Service Controls From the official documentation: “For information on using Gemini Enterprise Agent Platform VPC Service Controls, see [VPC Service Controls with Gemini Enterprise Agent Platform](/gemini-enterprise-agent-platform/machine-learning/general/vpc-service-controls).”
• VPC Service Controls secures Cloud Run From the official documentation: “To learn more about the security features that Cloud Run provides, use the following resources: - [Access control with Identity and Access Management (IAM)](/run/docs/securing/managing-access) - [Per-service identity](/run/docs/securing/service-identity) - [Google Cloud Armor…”
• VPC Service Controls secures Cloud Run functions From the official documentation: “[VPC Service Controls](/vpc-service-controls) creates a security perimeter that isolates your Cloud Run functions services and resources by setting up authorization, access controls, and [secure data exchange](/vpc-service-controls/docs/secure-data-exchange).”
• VPC Service Controls secures Cloud Vision API From the official documentation: “The API for Cloud Vision API can be protected by VPC Service Controls and the product can be used normally inside service perimeters.”
• VPC Service Controls secures Dataflow From the official documentation: “Place your Dataflow pipelines inside a security perimeter using VPC Service Controls.”
• VPC Service Controls secures Model Armor From the official documentation: “The API for Model Armor can be protected by VPC Service Controls and the product can be used normally inside service perimeters.”