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# Tensorboards
The **TensorBoards** menu is used to visualize, monitor, and analyze machine learning experiments interactively. It enables users to access model training results, such as loss graphs, accuracy metrics, parameter value distributions, and embedding visualizations, within a single interface.
## Create Tensorboards
**Create TensorBoards** is used to create a new TensorBoard instance linked to the log files of a model training experiment. On the **TensorBoards** page, click the **New TensorBoards** button.
The **New TensorBoards** window appears. Enter the **Name** and select either **PVC** or **Object Store**. If **Object Store** is selected, enter the object link to be used. If **PVC** is selected, choose the PVC and **Mount Path** to use. In the **Configurations** section, select whether to grant Pipeline access. Click the **Create** button to create the TensorBoard instance.
## Delete Tensorboards
On the **TensorBoards** page, select the TensorBoard you want to delete by clicking the **Delete** icon.
A confirmation dialog appears displaying the selected TensorBoard name. Click **Delete** to proceed with the deletion or **Cancel** to return to the TensorBoards page without making any changes.