Efficient Batch Inference on Mosaic AI

What you’ll learn

Discover how to implement and optimize batch inference workflows on Mosaic AI that can process large-scale data efficiently while maintaining high performance and cost-effectiveness.

This tutorial demonstrates how to set up batch inference pipelines that maximize throughput and minimize resource usage. You'll learn how to leverage Mosaic AI's distributed computing capabilities to process massive datasets in a simple and efficient manner.

Recommended

<p>Mosaic AI: Fine-Tune Your LLM on Databricks for Specialized Tasks and Knowledge</p>

Tutorial

Mosaic AI: Fine-Tune Your LLM on Databricks for Specialized Tasks and Knowledge

<p>Secure and Govern Generative AI Models with Mosaic AI Gateway on Databricks</p>

Product Tour

Secure and Govern Generative AI Models with Mosaic AI Gateway on Databricks

<p>Quickly Build, Deploy, and Assess a RAG Application with the Mosaic AI Agent Framework and Agent Evaluation</p>

Product Tour

Quickly Build, Deploy, and Assess a RAG Application with the Mosaic AI Agent Framework and Agent Evaluation

Ready to get started?

Try Databricks for free