Sharing Work load between different Servers for Rasa-X

Is there any way to separate the training and chatting part during the hosting of Rasa x. Like the main server is used for holding all the conversations, data, configurations…etc of the chatbot but while training, another server’s resources (RAM, CPU,…) are used and the main server doesn’t crash or none of its resources are used for training, and the final model is stored in the main server rather than in the secondary server?

Hi @Anurock

Have a look at the docs here. See how the worker instance handles training and testing, and the production instance handles conversations with users.