Google Distributed Cloud air-gapped appliance documentation

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Google Distributed Cloud (GDC) air-gapped appliance lets you run node-scale AI, container, and VM workloads on ruggedized, portable hardware in remote or field locations. Learn more

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Documentation resources

Find quickstarts and guides, review key references, and get help with common issues.
Explore self-paced training, use cases, reference architectures, and code samples with examples of how to use and connect Google Cloud services.
Training
Training and tutorials

Upload and run a container application in a Google Distributed Cloud air-gapped appliance environment.

Containers Kubernetes

Training
Training and tutorials

A Deep Learning (DL) container is a Docker container with preinstalled data science frameworks, libraries, and tools.

AI/ML Containers

Use case
Use cases

Run the Dataproc service in GDC air-gapped.

Analytics Dataproc

Use case
Use cases

Vertex AI on GDC air-gapped appliance brings the power of a machine learning (ML) and artificial intelligence (AI) platform to your secure portable device.

AI/ML Vertex AI

Code sample
Code Samples

Explore declarative Kubernetes Resource Model (KRM) API schemas and YAML configuration samples for GDC platform services.

APIs KRM