Accelerate your AI Projects with a Data-Centric Approach to Machine Learning

Databricks Model Serving offers a comprehensive solution for deploying, overseeing, querying, and overseeing models, whether they are finely tuned by Databricks, such as Llama 2, MosaicML MPT, or BGE, or sourced from other providers like Azure OpenAI, AWS Bedrock, AWS SageMaker, and Anthropic. Our unified approach simplifies the process of experimenting with and transitioning models from various clouds or providers, enabling you to identify the optimal candidate for your real-time application. Conduct A/B testing with different models and monitor model performance using live production data post-deployment. Model Serving includes pre-deployed models like Llama2 70B, facilitating the rapid development of AI applications such as retrieval augmented generation (RAG), and offers options for pay-per-token access or pay-for-provisioned compute to ensure throughput guarantees.