# Dashboard Overview

The Fleet dashboard is mission control for your models. Everything you can do with the SDK and CLI you can also do here: upload models, kick off training runs, watch them live, deploy endpoints, and test inference. No terminal required.

Open it at [fleethq.dev/dashboard](/dashboard).

## Layout

The dashboard is organised into sections, reachable from the left sidebar:

| Section | What it's for |
| --- | --- |
| **Overview** | Live activity, running jobs, and recent models, jobs, and deployments at a glance. |
| **Models** | Your base models, fine-tuned outputs, and checkpoints. Train and deploy from here. |
| **Datasets** | Upload and manage training datasets. |
| **Jobs** | Full training-job history, with live logs and metrics. |
| **Deployments** | Live inference endpoints. Test them, copy their URLs, and shut them down. |
| **API Keys** | Create and revoke keys for the SDK and CLI. See [Authentication](/docs/authentication). |
| **Billing** | Balance, transactions, storage costs, and auto-recharge. See [Billing](/docs/billing). |
| **Settings** | Account preferences and defaults. |

## The Overview page

The landing page after sign-in. It surfaces what's happening right now:

- **Activity on the GPUs:** any job currently running, with its assigned GPU, status, and quick actions (metrics, logs, cancel).
- **Recent activity:** the latest jobs, models, and deployments across your account, newest first.
- **Recent deployments:** your active endpoints.

Your account balance is shown in the top bar. When it runs low, [auto-recharge](/docs/billing) can top it up automatically.

## What's next

- [Manage your models →](/docs/dashboard-models)
- [Upload a dataset →](/docs/dashboard-datasets)
- [Run and monitor a training job →](/docs/dashboard-jobs)
- [Deploy and test an endpoint →](/docs/dashboard-deployments)