> For the complete documentation index, see [llms.txt](https://docs-v3.activeloop.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs-v3.activeloop.ai/v3.6.0/enterprise-features/compute-engine.md).

# Compute Engine

## Overview of Deep Lake's Optimized Compute Engine built in C++

#### Compute Engine maximize performance of compute-heavy Deep Lake's features, such as distributed dataloading or large queries, by running certain operations in C++.

**The interface for the Compute Engine is still in Python**, and it is installed using `pip install "deeplake[enterprise]"`, which delivers the compiled C++ code from binaries.&#x20;

{% hint style="warning" %}
In order to use Compute Engine, Deep Lake data must be stored in Deep Lake Storage, or in the user's cloud while being connected to Deep Lake using [Managed Credentials](/v3.6.0/storage-and-credentials/managed-credentials.md).&#x20;
{% endhint %}

### Features in the Optimized Compute Engine:

{% content-ref url="/pages/fjjI8Q8rEsEXVKk2EiDY" %}
[Tensor Query Language (TQL)](/v3.6.0/enterprise-features/compute-engine/querying-datasets.md)
{% endcontent-ref %}

{% content-ref url="/pages/qNbf22ZNhBj9ifUAZEPz" %}
[Performant Dataloader](/v3.6.0/enterprise-features/compute-engine/performant-dataloader.md)
{% endcontent-ref %}


---

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