# Resource Utilization Graph

{% hint style="info" %}
*Check out the given illustration to understand how the resource utilization graph gets displayed for a Notebook.*
{% endhint %}

<figure><img src="/files/ljqbmrVHDcl0JMMCmee6" alt=""><figcaption></figcaption></figure>

{% hint style="info" %}
*<mark style="color:green;">Please Note:</mark> The graph displays requests and limits of CPU and Memory respectively. The values will be calculated and previewed in the UI after each cell execution.*
{% endhint %}

* The below-given image displays the resource utilization graph when the utilized resources are within the set limit.

<figure><img src="/files/vT8ms0HEkmfSvvl1V7ZO" alt=""><figcaption><p>Resource Utilization Graph after consuming resources below 60% of the given limit </p></figcaption></figure>

If 60% of the given limit gets utilized the resource utilization graph turns yellow in color (as shown in the below-given image).

<figure><img src="/files/R0wHGkltc9lkcjVHna3S" alt=""><figcaption><p>Resource Utilization Graph after consuming 60% of the given limit of the resources</p></figcaption></figure>

* If 80% of the given limit gets utilized the resource utilization graph turns red in color (as shown in the below-given image).

<figure><img src="/files/plRX4oWk8f46FURRVXSO" alt=""><figcaption><p>Resource Utilization Graph after consuming 80% of the given limit of the resources</p></figcaption></figure>

{% hint style="info" %}
*<mark style="color:green;">Please Note:</mark> Refer the **Data Science Lab Quick Start Flow** page to get an overview of the **Data Science Lab** module in nutshell.* [***Click here***](/data-science-lab-2/data-science-lab-quick-start-flow.md) *to get redirected to the quick start flow page.*
{% endhint %}


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.bdb.ai/data-science-lab-2/project/tabs-for-a-data-science-lab-project/tabs-for-tensorflow-and-pytorch-environment/notebook/notebook-page/resource-utilization-graph.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
