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Shut down kernel

Step 1: Navigate to Running Kernels/Notebooks. From the navigation bar, select the Running Kernels/Notebooks option (second icon from the top).

Running Kernels/Notebooks icon in the JupyterLab navigation bar

Running GPU kernel table

Displays information about all currently running GPU kernels in your lab.

FieldDescription
NameUnique identifier of the GPU kernel
Created AtDate and time when the GPU kernel started
ActionAvailable actions: Shut Down All terminates all running kernels in your lab. Once terminated, the kernels will appear in the Kernel History section. Shut Down terminates only the selected kernel. The terminated kernel will appear in the Kernel History section.

Kernel history table

Displays information about all terminated GPU kernels.

This table helps you verify kernel usage duration and cross-check it with billing data on the AI Factory Portal.

FieldDescription
NameUnique identifier of the GPU kernel
Created AtDate and time when the GPU kernel started
DurationTotal runtime of the GPU kernel

Billing reconciliation

note

You may notice a slight difference (typically 1–10 seconds) between the GPU runtime displayed in AI Factory Billing and the Duration column in the Kernel History table of AI Notebook. This minor variation is expected and occurs due to normal synchronization delays between internal services.

Kernel history table showing duration and billing reconciliation data