Last updated: May 1, 2025

1. Go to QuickPod Templates

2. Find Jupyter Lab CUDA 12.6, click Clone, and name it (e.g., Gensyn 12.6)

   

3. In the Docker settings, add:

   -p 3000:3000 --shm-size=16g
   

   Then click Save.

   

4. Choose a machine:

   • CPU: 16GB+ RAM
   • GPU: 16GB+ RAM (VRAM can be less or more than 24GB)

   Select the template you just created.

   

5. Click the orange Connect to JupyterLab button.

   

Inside JupyterLab, click the Terminal icon on the left.

In the terminal, paste and run:

curl -s https://quickpod.github.io/gensyn/init.sh | bash

Wait until installation is complete.

In the terminal, run:

./run.sh

Just press Enter unless you know about these options.

If you see a screen like this, continue to Steps 6–7.
If not, skip to Step 8.

Click your port 3000 link. It will open a new browser tab.

1. Click on Login

2. Enter your email address
   

3. Enter the token sent to your inbox
   
   

   If you are not receiving OTP email:

   • OTP emails may be mistakenly filtered as spam. Look in your spam or junk folder for the OTP message
   • Sometimes, there may be a delay in OTP delivery due to network or server issues. Wait a few minutes before requesting another OTP
   • Double-check that the email address entered is correct and free of typos. An incorrect email will prevent delivery of the OTP

4. You should see Login Success

   

If running is succesful you will see these, locate your ORG ID and Peer ID and remember it.

Go to: https://quickpod.github.io/gensyn
Paste your Peer ID, and select A or B (based on Step 5).

Example of old swarm (not recommended anymore):

1. Right-click swarm.pem
2. Click Download