A TensorBoard instance is a regional resource in Vertex AI that stores and organizes TensorBoard experiments for a project. Multiple instances can be used to separate workloads, security requirements, or encryption configurations.
A TensorBoard instance is a regionalized resource that stores Vertex AI TensorBoard Experiments associated with a Project. You can create multiple TensorBoard instances in a project if, for example, you want multiple CMEK enabled instances. This is the same as the TensorBoard resource in the API.