Generally available: Model Serving on Azure Databricks

Model Serving on Azure Databricks is now generally available Model Serving on Azure Databricks is now generally available. Azure Databricks Model Serving deploys machine learning models as a REST API, allowing you to build real-time ML applications, such as personalised recommendations, customer service chatbots, fraud detection and more – all without the hassle of managing serving infrastructure. The first feature to launch under this model is Serverless Real-Time Inference. This feature uses [Serverless compute](https://learn.microsoft.com/en-us/azure/databricks/serverless-compute/), which means that the endpoints and associated compute resources are managed and run in Azure Databricks. [Read more](https://learn.microsoft.com/en-us/azure/databricks/machine-learning/model-inference/serverless/serverless-real-time-inference) * Azure Databricks * Pricing & Offerings * Services * [ Azure Databricks](https://azure.microsoft.com/en-gb/products/databricks/)