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Quickstart

Get up and running with AI Notebook in a few steps — from creating your account to running your first kernel.

Step 1: Create an account​

  1. Go to https://factory.fptcloud.com/.
  2. Click Sign up and choose FPT ID or Continue with Google.
  3. If using FPT ID, verify your account via the confirmation email from FPT Smart Cloud.

Step 2: Create and launch an AI Notebook lab​

  1. In the Workspace sidebar, click AI Notebook under Services.
  2. Click Create for the region you want to use and wait 3–5 minutes for the status to reach Running.
  3. Click Access to open the Notebook Lab.

See detailed guide: Create and Access an AI Notebook Lab

Step 3: Top up your wallet​

GPU kernels require credits. Top up before starting a GPU notebook.

  1. In the left sidebar, click Billing.
  2. Click Pay now in the Organization balance section.
  3. Fill in your account information, then click Continue.
  4. Select a top-up amount and click Continue.
  5. Select a payment method (VNPAY-QR, Stripe, or PayPal) and complete the payment.

Your balance updates as soon as the payment is confirmed.

See detailed guide: Top Up

Step 4: Create a notebook​

Inside AI Notebook Lab, creating a notebook means starting a kernel session connected to compute resources.

CPU notebook (free):

  1. In the Launcher, click the + button.
  2. Choose CPU Notebook.

GPU notebook:

  1. In the Launcher, choose a notebook with your preferred GPU (e.g. 1× GPU H100 SXM5).
  2. Click Confirm on the confirmation dialog.
  3. Wait 1–2 minutes for the kernel to be ready.

See detailed guide: Start a CPU or GPU Kernel

Step 5: Connect a notebook to a kernel​

To connect or switch kernels, open the kernel configuration menu in the top-right of the notebook.

Connect to an existing kernel:

  1. Under Running Kernels, select the kernel you want to connect to.

Start a new kernel:

  1. Under Start Other Kernels, select the GPU type you want.
  2. Click Confirm and wait 1–2 minutes.

See detailed guide: Connect to a Kernel

Step 6: Shut down a kernel​

  1. In the JupyterLab navigation bar, click Running Kernels / Notebooks (second icon from the top).
  2. In the Running GPU Kernel table, click Shut Down next to the kernel you want to stop, or click Shut Down All to stop all running kernels.

See detailed guide: Manage GPU Kernels