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Machine Learning Infrastructure

Machine Learning Infrastructure

Databricks: The cloud-based platform for data warehousing and AI development

Databricks provides a suite of data infrastructure and analytics solutions, including data lakes, warehouses, and governance, which support machine learning (ML) applications. It also offers a managed service for MLFlow, an open-source platform for developing, managing, deploying, and monitoring ML models.
  • MLFlow offers a centralized model registry for storing and collaborating on ML models, featuring version control and integration with enterprise CI/CD pipelines. It supports deployment across local machines using Apache Spark as well as cloud platforms like Microsoft Azure ML and Amazon Sagemaker.
  • In July 2023, Databricks acquired MosaicML to integrate its platform into Databricks' Lakehouse, providing organizations with tools to build and manage large language models (LLMs) and support various AI use cases, including generative AI using their own data.
  • By September 2023, Databricks had a global customer base of over 10,000, including prominent clients such as S&P Global, Adobe, Toyota, Nasdaq, and NASA.

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