---
title: "Scale Data Processing Engine resources"
description: "The Platform is designed to scale easily as the requirements of your data Project evolve"
url: https://docs.ovhcloud.com/de/guides/public-cloud/data-platform/dpe-jobs-resources
lang: de
lastUpdated: 2026-09-14
---
> For AI agents: the complete documentation index is available at https://docs.ovhcloud.com/de/llms.txt, the full documentation bundle is available at https://docs.ovhcloud.com/de/llms-full.txt.

# Scale Data Processing Engine resources

## Objective

The Platform is designed to scale easily as the requirements of your data Project evolve.

In the Data Processing Engine, each individual action or workflow can be **scaled both horizontally and vertically**, meaning you can parallelize processing tasks and add more computing power to each indefinitely.

## Scale your jobs horizontally

You can **parallelize the workload** of your action or workflow by selecting the number of parallel instances in which your job will be ran. Typically, multiple instances will be used for the following processes:

- Using [segmentation](https://docs.ovhcloud.com/de/guides/public-cloud/data-platform/dpe-jobs-segmentation.md) for a job
- Running workflows with multiple actions in the same [stage](https://docs.ovhcloud.com/de/guides/public-cloud/data-platform/dpe-workflows.md#stages)
- Running multiple [concurrent](https://docs.ovhcloud.com/de/guides/public-cloud/data-platform/dpe-jobs-preferences.md#concurrent-executions)
  occurrences of the same [Always-up action/workflow](https://docs.ovhcloud.com/de/guides/public-cloud/data-platform/dpe-jobs-preferences.md#always-up)

:::info
Failure to allocate multiple instances for the above processes will simply have the broken-down tasks executed back-to-back on the single instance.
:::

To change the amount of parallel instances allocated to an action or a workflow, go to its **Preferences** tab.

![Scale your jobs horizontally — Preferences](/images/public-cloud/data-platform/product/dpe/jobs/picts/preferences.png)
Change the number of instances in the Resources panel.

![Scale your jobs horizontally — Instances](/images/public-cloud/data-platform/product/dpe/jobs/picts/instances.png)
## Scale your jobs vertically

You can allocate **more computing power** to an action or a workflow by increasing the number of Data Platform Units (DPU) of each computing instance. The DPU is a unit of processing capability, representing access to a certain amount of CPU and memory, as such:

- **DPU**: - corresponds to approximately _1 vCPU_ and _4 GB of RAM_, based on hardware availability.

:::info
By default, newly created actions or workflows are allocated 2 DPU.
:::

To change the amount of DPU allocated to an action or a workflow, go to its **Preferences** tab.

![Scale your jobs vertically — Preferences](/images/public-cloud/data-platform/product/dpe/jobs/picts/preferences.png)
Use the slider to set the desired DPU size of [each parallel instance](https://docs.ovhcloud.com/de/guides/public-cloud/data-platform/dpe-jobs-resources.md#scale-your-jobs-horizontally) for the execution.

![Scale your jobs vertically — Size](/images/public-cloud/data-platform/product/dpe/jobs/picts/size.png)
The final total amount of DPU allocated to a DPE job is the number of parallel instances times the DPU size of each.

:::info
If you are using the [Always-up execution mode](https://docs.ovhcloud.com/de/guides/public-cloud/data-platform/dpe-jobs-preferences.md), you still are allowed to update your resources. The update will come into effect shortly after you change your settings and your workflows/actions will not be interrupted in the process.
:::

## Go further

If you need training or technical assistance to implement our solutions, contact your sales representative or click on [this link](https://www.ovhcloud.com/de/professional-services/) to get a quote and ask our Professional Services experts for a custom analysis of your project.

Ask questions, give your feedback and interact directly with the team building the Data Platform on the dedicated [Discord channel](https://discord.gg/ovhcloud).

If you need support with your OVHcloud services, create a request in our [Help Centre](https://help.ovhcloud.com/csm?id=csm_get_help).

Join our [community of users](https://community.ovhcloud.com/).