# How to Connect a Notebook to a new/existing Kernel?

### Video

{% embed url="<https://youtu.be/TYotRXTb2WE?si=7V6P3K9FI1w0_MR9>" %}

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Open the Kernel Configuration Menu\
In the Notebook IDE, open the **kernel configuration menu** (top right).

<figure><img src="/files/XBZEQeVMU1FNo0KzqCKB" alt="" width="563"><figcaption></figcaption></figure>

<table><thead><tr><th width="100">Option</th><th>Description</th><th>When to Use</th></tr></thead><tbody><tr><td><strong>Running Kernels</strong></td><td>Connect to an existing active kernel (e.g., Python 3).</td><td>Resume work quickly, save resources</td></tr><tr><td><strong>Start Other Kernels</strong></td><td>Launch a new kernel with chosen GPU resources (1x, 2x, 4x, 8x H100).</td><td>New experiments or heavy workloads</td></tr><tr><td><strong>No Kernel</strong></td><td>Open the notebook without attaching any compute.</td><td>View or edit code without running</td></tr></tbody></table>
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{% step %}
**Step 2a**: Start a New Kernel

1. Under **Start Other Kernels**, select the GPU type you want.
2. Click **Confirm** and approve the confirmation pop-up.\
   [![Alt text](https://fptcloud.com/wp-content/uploads/2025/09/image-6.png)](https://fptcloud.com/wp-content/uploads/2025/09/image-6.png)
3. Wait about **1–2 minutes** for the notebook to be ready.
4. Once connected, the new kernel will appear under **Running Kernels**.

***

**Step 2b**: Switch to an Existing Kernel

1. Under **Running Kernels**, select the kernel you want to connect to.
2. Wait about **1–2 minutes** for the notebook to be ready.
3. Once connected, the selected kernel will be shown under **Running Kernels**.
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***


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