Mosaic AI

Mosaic AI, now part of Databricks, is a comprehensive platform for training, fine-tuning, and deploying large language models and generative AI applications at scale. It provides enterprise-grade infrastructure for building custom AI models with a focus on efficiency, security, and complete model ownership.

Key Capabilities

Mosaic AI offers end-to-end capabilities including model pretraining, fine-tuning, and inference serving. The platform features MosaicML Training for custom model development, MosaicML Inference for secure deployment, and built-in evaluation tools for assessing agent and model output quality using AI judges. It supports seamless cloud switching across AWS, Azure, and Google Cloud, and emphasizes data privacy with enterprise-grade security and complete model ownership.

Who Should Use Mosaic AI

Mosaic AI is built for ML engineering teams, AI researchers, and enterprises that need to train or fine-tune custom large language models rather than relying solely on third-party APIs. It is particularly valuable for organizations with strict data privacy requirements that need full control over their models and training data.

Getting Started

Access Mosaic AI through the Databricks platform. Set up a Databricks workspace, configure your compute resources, and use the Mosaic AI tools to begin training or fine-tuning models. Databricks provides documentation and guided onboarding for setting up training jobs, serving endpoints, and evaluation pipelines.

Pricing & Accessibility: Mosaic AI uses pay-per-use pricing based on Databricks Units (DBUs). Model training is priced at approximately $0.65 per DBU, and foundation model serving starts at $0.07 per DBU. Costs vary by workload type, compute tier, and cloud provider.

Why Consider Mosaic AI: Mosaic AI provides enterprise teams with the infrastructure to build and own custom AI models at scale, combining Databricks’ data platform strength with efficient multi-cloud training and deployment capabilities.