docs(dlb): update

Author: SamyOubouaziz

pages/data-lab/concepts.mdx

@@ -24,6 +24,10 @@ A Distributed Data Lab is a data lab that is distributed across multiple worker
 
 A fixture is a set of data forming a request used for testing purposes.
 
+## GPU
+
+GPUs (Graphical Processing Units) allow Apache Spark to accelerate computations for tasks that involve large-scale parallel processing, such as machine learning and specific data-analytics, significantly reducing the processing time for massive datasets and preparation for A.I models.
+
 ## JupyterLab 
 
 JupyterLab is a web-based platform for interactive computing, letting you work with notebooks, code, and data all in one place. It builds on the classic Jupyter Notebook by offering a more flexible and integrated user interface, making it easier to handle various file formats and interactive components.

pages/data-lab/how-to/connect-to-data-lab.mdx

@@ -30,7 +30,7 @@ categories:
 
 4. Enter your [API secret key](/iam/concepts/#api-key) when prompted for a password, then click **Log in**. You are directed to the lab's home screen.
 
-5. In the files list on the left, double-click the `quickstart.ipynb` file to open it.
+5. In the files list on the left, double-click the `DatalabDemo.ipynb` file to open it.
 
 6. Update the first cell of the file with your API access key and secret key, as shown below:
 
@@ -41,4 +41,4 @@ categories:
 
     Your notebook environment is now ready to be used.
 
-7. Optionally, follow the instructions contained in the `quickstart.ipynb` file to process a test batch of data.
+7. Optionally, follow the instructions contained in the `DatalabDemo.ipynb` file to process a test batch of data.