> ## 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.

# Inference Quick Start

> The minimal steps to get up and running with Edge Inference Services.

## Introduction

> [!NOTE]
>
> Edge Inference Services is not yet available in production. The Inference tab currently shows a Coming Soon placeholder. This article describes the intended functionality.

This article describes the minimal steps required to get a working setup in Edge Inference Services. Follow the steps in order.

## Prerequisites

* A ZEDEDA user account. If you do not have one, see [Get Started with the Self-Service Trial Program](https://zededa.mintlify.site/new-ui/start/self-service-trial.md).
* A ZEDEDA Edge Kubernetes Service cluster. If you do not have one, see the [Infrastructure Quick Start](https://zededa.mintlify.site/new-ui/infrastructure-services/infrastructure-quick-start.md).

## Quick Start for Edge Inference Services

Edge Inference Services manages the lifecycle of AI models at the edge, including import, benchmarking, evaluation, and deployment to ZEDEDA Edge Kubernetes Service clusters.

1. In the bottom navigation bar, select **Inference** to switch to the Inference service area.
2. Create an organization. The name must be 1 to 49 characters long, use only lowercase letters, numbers, and hyphens, start and end with a letter or number, and be unique. The name `system` is reserved. See [Organizations, Users, and Roles](https://zededa.mintlify.site/new-ui/edge-inference-services/organizations-users-and-roles.md).
3. Add a provider to connect to your model source. See [Providers](https://zededa.mintlify.site/new-ui/edge-inference-services/inference-model-providers.md).
4. Import a model from your provider into your model library. See [Manage Models](https://zededa.mintlify.site/new-ui/edge-inference-services/manage-inference-models.md).
5. Optionally, run inference benchmarks to evaluate model performance before deploying. See [Benchmark Models and Manage Device Pools](https://zededa.mintlify.site/new-ui/edge-inference-services/inference-model-benchmarking.md).
6. Submit a deployment request to deploy the model to a ZEDEDA Edge Kubernetes Service cluster or cluster group. See [Submit Model Deployment Requests](https://zededa.mintlify.site/new-ui/edge-inference-services/submit-model-deployment-requests.md).
7. Have an Organization Admin or MLOps Admin in the organization approve the request. You cannot approve your own request. See [Approve and Validate Models](https://zededa.mintlify.site/new-ui/edge-inference-services/deployments-and-validation.md).

## In This Section

* [Edge Inference Services Overview](https://zededa.mintlify.site/new-ui/edge-inference-services/overview.md)
* [Inference Dashboard](https://zededa.mintlify.site/new-ui/edge-inference-services/inference-dashboard.md)
* [Inference Quick Start](https://zededa.mintlify.site/new-ui/edge-inference-services/inference-quick-start.md)
* [Access and Navigate Edge Inference Services](https://zededa.mintlify.site/new-ui/edge-inference-services/access-and-navigation.md)
* [Organizations, Users, and Roles](https://zededa.mintlify.site/new-ui/edge-inference-services/organizations-users-and-roles.md)
* [Manage Providers](https://zededa.mintlify.site/new-ui/edge-inference-services/inference-model-providers.md)
  * [Manage Providers Using Jupyter Notebook Integration](https://zededa.mintlify.site/new-ui/edge-inference-services/providers-jupyter.md)
* [Manage Models](https://zededa.mintlify.site/new-ui/edge-inference-services/manage-inference-models.md)
  * [Manage Models Using Jupyter Notebook Integration](https://zededa.mintlify.site/new-ui/edge-inference-services/models-jupyter.md)
  * [Benchmark Models and Manage Device Pools](https://zededa.mintlify.site/new-ui/edge-inference-services/inference-model-benchmarking.md)
  * [Monitor Benchmark Runs and Interpret Results](https://zededa.mintlify.site/new-ui/edge-inference-services/use-ondevice-eval-agent.md)
* [Submit Model Deployment Requests](https://zededa.mintlify.site/new-ui/edge-inference-services/submit-model-deployment-requests.md)
* [Approve and Validate Models](https://zededa.mintlify.site/new-ui/edge-inference-services/deployments-and-validation.md)
* [Monitor Inference Jobs](https://zededa.mintlify.site/new-ui/edge-inference-services/jobs-and-monitoring.md)
* [Use ZEIA to Query and Operate Your Fleet](https://zededa.mintlify.site/new-ui/edge-inference-services/zeia.md)
* [Use Prevalidated Agents](https://zededa.mintlify.site/new-ui/edge-inference-services/prevalidated-agents.md)
  * [Use the Faulty Printed Circuit Board Detection Agent](https://zededa.mintlify.site/new-ui/edge-inference-services/faulty-pcb-detection-agent.md)
  * [Use the Autonomous Retail Billing Agent](https://zededa.mintlify.site/new-ui/edge-inference-services/autonomous-retail-billing-agent.md)
* [Inference Troubleshooting](https://zededa.mintlify.site/new-ui/edge-inference-services/inference-troubleshooting.md)