Colab Enterprise

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• Colab Enterprise is an alternative to Gemini Enterprise Agent Platform Workbench From the official documentation: “Agent Platform provides two options for running your code in notebooks, Colab Enterprise and Gemini Enterprise Agent Platform Workbench.”
• BigQuery works with Colab Enterprise From the official documentation: “You can use Colab Enterprise from within the Google Cloud console, with features built into both Agent Platform and BigQuery.”
• Colab Enterprise depends on Compute Engine From the official documentation: “Colab Enterprise uses Compute Engine quota for GPUs.”
• Colab Enterprise is part of Gemini Enterprise Agent Platform From the official documentation: “Colab Enterprise is a part of Gemini Enterprise Agent Platform.”
• Cloud Storage works with Colab Enterprise From the official documentation: “Colab Enterprise stores the results in Cloud Storage for you to review and share with others.”
• customer-managed encryption keys secures Colab Enterprise From the official documentation: “This guide describes how to use CMEK for Colab Enterprise.”
• VPC Service Controls secures Colab Enterprise From the official documentation: “This page describes how to use VPC Service Controls to set up a Colab Enterprise notebook within a service perimeter.”
• Cloud KMS works with Colab Enterprise From the official documentation: “If you want to control your encryption keys, then you can use customer-managed encryption keys (CMEKs) in [Cloud KMS](/kms/docs) with CMEK-integrated services including Colab Enterprise.”
• Colab Enterprise works with Compute Engine reservations From the official documentation: “Use [Compute Engine reservations](/compute/docs/instances/reservations-overview) to gain a high level of assurance that your Colab Enterprise runtimes have enough virtual machine (VM) resources to run.”
• Colab Enterprise works with data-driven optimizer From the official documentation: “In Colab Enterprise, open the Gemini Enterprise Agent Platform prompt optimizer notebook.”
• Colab Enterprise works with Gemini Enterprise Agent Platform From the official documentation: “To learn more about using the side panel with your Agent Platform tuning jobs, see [Interact with Agent Platform to tune a model](/colab/docs/tuning).”
• Colab Enterprise works with Gemini in BigQuery From the official documentation: “You can use Gemini in BigQuery to explain Python code in your Colab Enterprise notebooks.”
• Colab Enterprise is an alternative to Google Gen AI SDK From the official documentation: “You can create a supervised fine-tuning job by using the Google Cloud console, the Google Gen AI SDK, the REST API, or Colab Enterprise.”
• Identity and Access Management secures Colab Enterprise From the official documentation: “This page describes how to use [Identity and Access Management (IAM)](/iam) to manage access to Colab Enterprise resources.”
• BigQuery is an alternative to Cloud Storage From the official documentation: “The `import_result_sink` must be a Cloud Storage path or a BigQuery table.”
• BigQuery works with Cloud Logging From the official documentation: “BigQuery utilizes Cloud Logging for some of your log data.”
• BigQuery works with Cloud Storage From the official documentation: “External BigQuery data source backed by Cloud Storage”
• 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 Knowledge Catalog From the official documentation: “Some Knowledge Catalog functionalities trigger job execution using BigQuery.”
• Cloud Logging works with customer-managed encryption keys From the official documentation: “To use Cloud Logging with Customer-managed encryption keys (CMEK), you must complete the steps in the [Enable CMEK for an organization](/logging/docs/routing/managed-encryption#enable) page in the Cloud Logging documentation.”
• customer-managed encryption keys depends on Cloud KMS From the official documentation: “You must have a symmetric encryption key in Cloud KMS to use for CMEK.”
• Cloud Logging works with GKE From the official documentation: “Enable Cloud Logging on GKE Clusters”
• Cloud Run functions works with Cloud Storage From the official documentation: “Set up functions in response to events in Cloud Storage:”
• Compute Engine is an alternative to GKE From the official documentation: “To use TPU7x, you can use Google Kubernetes Engine (GKE) or Compute Engine.”
• BigQuery works with Cloud Run functions From the official documentation: “BigQuery supports external function calls through Cloud Run functions.”
• Cloud Storage works with Dataflow From the official documentation: “Write from Dataflow to Cloud Storage”
• customer-managed encryption keys secures Cloud Storage From the official documentation: “CMEKs encrypt data at rest in Cloud SQL, Cloud Storage, and within GKE clusters.”
• 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.”
• customer-managed encryption keys secures BigQuery From the official documentation: “You can either create CMEKs manually to protect your BigQuery resources or use Cloud KMS Autokey.”
• Cloud Storage works with customer-managed encryption keys From the official documentation: “Cloud Storage supports CMEK for routing logs.”
• Cloud Storage works with Identity and Access Management From the official documentation: “To learn how to use IAM with Cloud Storage, see [Using IAM Permissions](/storage/docs/access-control/using-iam-permissions).”
• customer-managed encryption keys secures Gemini Enterprise Agent Platform From the official documentation: “Enable customer-managed encryption keys (CMEK) for the Gemini Enterprise Agent Platform to gain more control over data encryption and key management.”
• VPC Service Controls secures Cloud Storage From the official documentation: “Storage Transfer Service supports transfers to Cloud Storage buckets protected by VPC Service Controls.”
• Cloud KMS works with customer-managed encryption keys From the official documentation: “With customer-managed encryption keys (CMEK), volume keys are wrapped using your keys stored in Cloud KMS.”
• Cloud Logging works with Cloud Storage From the official documentation: “Cloud Storage writes various log entries to Cloud Logging in the Google Cloud console.”
• Identity and Access Management secures BigQuery From the official documentation: “Access to BigQuery data from AlloyDB is managed through IAM.”
• Identity and Access Management secures Cloud Storage From the official documentation: “Cloud Storage uses Identity and Access Management (IAM) for authorization.”
• BigQuery depends on Cloud Logging From the official documentation: “BigQuery utilizes Cloud Logging for some of your log data.”
• BigQuery works with Identity and Access Management From the official documentation: “BigQuery uses Identity and Access Management (IAM) for authorization.”
• Cloud Logging works with Compute Engine From the official documentation: “Compute Engine sends you Cloud Logging events for scheduled, started, or completed maintenance.”
• Cloud Storage works with Compute Engine From the official documentation: “You can use a web browser, the Google Cloud CLI, or a programming language to transfer files between Cloud Storage and Compute Engine VMs.”
• customer-managed encryption keys is part of Cloud KMS From the official documentation: “To protect your agents' data by using encryption keys that you control,<br>you can use [CMEKs](/kms/docs/cmek)<br>that you create and manage in Cloud KMS.”
• GKE depends on Compute Engine From the official documentation: “For example, GKE deploys clusters on Compute Engine VMs.”
• 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 KMS From the official documentation: “# Enable the BigQuery service account to encrypt/decrypt Cloud KMS keys”
• Cloud Logging works with Cloud Run functions From the official documentation: “Cloud Run functions is configured to use Cloud Logging automatically.”
• Cloud Logging works with Dataflow From the official documentation: “Information stored in [Cloud Logging](/logging/docs/region-support) is primarily generated by the code in your Dataflow program.”
• Cloud Run functions depends on Cloud Storage From the official documentation: “Cloud Run functions uses the config in Cloud Storage to determine what actions to take for each stateful MIG.”
• Cloud Storage works with Gemini Enterprise Agent Platform From the official documentation: “This page describes how to use Gemini Enterprise Agent Platform to export your image AutoML Edge models to Cloud Storage.”
• Compute Engine reservations is part of Compute Engine From the official documentation: “Reservations are a Compute Engine feature.”
• customer-managed encryption keys secures Cloud Logging From the official documentation: “Cloud Logging supports encrypting Log storage with CMEK keys.”
• customer-managed encryption keys is part of Cloud Storage From the official documentation: “[Cloud Storage](/storage/docs/introduction) provides features such as customer-managed encryption, lifecycle management, and aging and retention policies.”
• customer-managed encryption keys secures Compute Engine From the official documentation: “In IL5, CMEK is enabled by default for Compute Engine, Google Kubernetes Engine (GKE), Cloud Storage, and Cloud SQL.”
• customer-managed encryption keys secures Gemini Enterprise Agent Platform Workbench From the official documentation: “When you enable CMEK for a Agent Platform Workbench instance, Agent Platform Workbench uses the key that you designate, rather than a key managed by Google, to encrypt data on the boot disks of the VM.”
• customer-managed encryption keys secures GKE From the official documentation: “CMEKs encrypt data at rest in Cloud SQL, Cloud Storage, and within GKE clusters.”
• Dataflow depends on Cloud Storage From the official documentation: “Begin by creating a Cloud Storage bucket using the Google Cloud console or Google Cloud CLI. The Dataflow pipeline uses this bucket as a temporary storage location.”
• Dataflow depends on Compute Engine From the official documentation: “When you run your pipeline on the Dataflow service, Dataflow creates Compute Engine instances to run your pipeline code.”
• Gemini Enterprise Agent Platform works with Google Gen AI SDK From the official documentation: “Set environment variables to use the Google Gen AI SDK with Gemini Enterprise Agent Platform”
• Identity and Access Management secures Compute Engine From the official documentation: “Compute Engine uses Identity and Access Management (IAM) for authorization.”