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

# Cloud Offering

> Share data, serve endpoints, and collaborate on multimodal AI workflows with Pixeltable Cloud services for teams and production deployments.

Pixeltable Cloud extends the local SDK with team collaboration and production deployment capabilities.

***

## Publish & Replicate ✅ Available Now

| Feature            | API                                                               |
| ------------------ | ----------------------------------------------------------------- |
| Publish datasets   | [`pxt.publish(source, destination_uri)`](/platform/data-sharing)  |
| Replicate datasets | [`pxt.replicate(remote_uri, local_path)`](/platform/data-sharing) |
| Sync updates       | `push()`, `pull()`                                                |
| Access control     | `access='public'` or `'private'`                                  |

```python theme={"theme":{"light":"light-plus","dark":"dark-plus"}}
# Publish your curated dataset
pxt.publish(source='my-table', destination_uri='pxt://myorg/my-dataset')

# Anyone can replicate public datasets (no account required)
coco = pxt.replicate(remote_uri='pxt://pixeltable:fiftyone/coco_mini_2017', local_path='coco-copy')
```

<Card title="Data Sharing Guide" icon="share" href="/platform/data-sharing">
  Full documentation on publish, replicate, push, and pull
</Card>

***

## 2. Endpoints

Self-hosted HTTP serving is available now. Cloud deployment with managed hosting is coming soon.

| Feature                                                        | Status         | What                                                       |
| -------------------------------------------------------------- | -------------- | ---------------------------------------------------------- |
| [`pxt serve`](/howto/deployment/serving)                       | ✅ Available    | TOML-configured HTTP endpoints with CLI                    |
| [`FastAPIRouter`](/howto/deployment/serving#quickstart-python) | ✅ Available    | Declarative routes in Python, drop-in `APIRouter` subclass |
| Background jobs                                                | ✅ Available    | `background=True` on any route                             |
| `pxt deploy`                                                   | 🔜 Coming Soon | Cloud deployment with auto-scaling                         |
| Pre-signed URLs                                                | 🔜 Coming Soon | Media access without proxying                              |

<Card title="HTTP Serving Guide" icon="globe" href="/howto/deployment/serving">
  TOML config, CLI, Python API, and background jobs for self-hosted deployments
</Card>

<Info>
  [Join the waitlist](https://www.pixeltable.com/waitlist) to get early access to cloud-managed Endpoints.
</Info>

***

## 3. Cloud Storage ✅ Available Now

Every Pixeltable Cloud account includes a free managed storage bucket for media files. No cloud provider account or bucket configuration required.

| Feature          | What                                                      |
| ---------------- | --------------------------------------------------------- |
| Home bucket      | Free R2-backed storage for computed and input media       |
| Auto credentials | Temporary credentials fetched and refreshed automatically |
| Quota management | Built-in storage limits with clear error messages         |

```python theme={"theme":{"light":"light-plus","dark":"dark-plus"}}
# Use your free cloud bucket as a media destination
t.add_computed_column(
    thumbnail=t.photo.resize((256, 256)),
    destination='pxtfs://myorg:mydb/home'
)
```

<Card title="Cloud Storage Setup" icon="cloud" href="/integrations/cloud-storage#pixeltable-cloud-home-bucket">
  Configuration guide for the free managed bucket
</Card>

***

## 4. Live Tables 🔜 Coming Soon

Multi-writer collaboration and serverless compute.

| Feature            | What                                   |
| ------------------ | -------------------------------------- |
| Multi-writer       | Team collaboration on shared tables    |
| Serverless compute | Auto-scaling without infrastructure    |
| UDF versioning     | Safe experimentation with code changes |
| RBAC + audit       | Governance and compliance              |

***

## Unified: Where It's All Going

When all three cloud services are available, the two use cases converge:

* **Data wrangling + AI pipelines + endpoints = one system**
* **Orchestration + storage + retrieval unified**
* **Table becomes the endpoint**

Your training datasets and production APIs share the same infrastructure—versioning, lineage, and retrieval in the serving path.

<Card title="Book a Demo" icon="calendar" href="https://calendar.google.com/calendar/u/0/appointments/schedules/AcZssZ0BSvx8SRh7HoLdgvGeYUuhdyaifN42nhieCJESo3B1Hmy_buqteAagnSwADXG1lhKFUg3_VTZM">
  Schedule time with our team to discuss your use case
</Card>