> ## Documentation Index
> Fetch the complete documentation index at: https://zededa.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

> ## Agent Instructions
> Use the documentation index to find relevant pages, then read the linked Markdown before answering and cite the source URL.
> Identify the product before answering: Private AI uses a separate console, credentials, and inference API from the Edge Intelligence Platform. Do not apply instructions from one product to the other.
> Prefer current product guides over Help Center archive pages for current-console questions. Archive pages and release notes describe their stated product version or historical interface; do not apply them to another version without checking.
> Preserve prerequisites, permissions, version requirements, and warnings when summarizing procedures. Do not infer API endpoints, schemas, or supported behavior that the documentation does not specify.

# First Time Setup

> Start here. Choose the path that matches what you need to accomplish with the ZEDEDA Edge Intelligence Platform.

> [!NOTE]
>
> These docs are in beta. Content is subject to change.

## Start with the path you need

The ZEDEDA Edge Intelligence Platform supports three service areas. Choose the one that matches your goal.

> [card] [Edge Infrastructure Services](https://zededa.mintlify.site/new-ui/infrastructure-services/infrastructure-quick-start.md)
>
> Onboard edge nodes, deploy applications, manage networks, and orchestrate workloads at the edge using EVE-OS.

> [card] [Edge Kubernetes Service](https://zededa.mintlify.site/new-ui/infrastructure-services/infrastructure-quick-start.md#quick-start-for-zededa-edge-kubernetes-service)
>
> Create and manage Kubernetes clusters at the edge, deploy cloud-native applications using Helm charts, and manage fleet orchestration with GitOps.

> [card] [Edge Inference Services](https://zededa.mintlify.site/new-ui/edge-inference-services/overview.md)
>
> Upload, benchmark, and deploy AI models to edge infrastructure. Manage the full model lifecycle from import to production deployment.

## Not sure where to start?

If you are new to ZEDEDA, start with the [ZEDEDA Edge Intelligence Platform Overview](https://zededa.mintlify.site/new-ui/start/platform-overview.md) to understand how the three service areas fit together. Then return here and choose your path.

If you are an existing ZEDEDA Cloud customer, see [Switch to Edge Infrastructure Services Console](https://zededa.mintlify.site/new-ui/start/zededa-cloud-migration.md) for guidance on transitioning to the new console.