Subject archive for "data-infrastructure"

Learn about Domino's new vector database access for enabling retrieval augmented generation (RAG) to ensure GenAI applications are reliable, accurate, and up-to-date.

How One IT Group Did It with Three Cost Governance Strategies

Today, Domino Data Lab is announcing the validation of Domino’s enterprise MLOps platform integrated with NVIDIA AI Enterprise and VMware vSphere with Tanzu, helping enterprises worldwide manage data science and AI workloads using mainstream servers. Domino is the first MLOps software NVIDIA has validated with the NVIDIA AI Enterprise software suite to provide the highest performance and compatibility on NVIDIA-certified Systems from leading server providers.

Special thanks to Addison-Wesley Professional for permission to excerpt the following "Software Architecture" chapter from the book, Machine Learning in Production. This chapter excerpt provides data scientists with insights and tradeoffs to consider when moving machine learning models to production. Also, if you’re interested in learning about how Domino provides an API endpoint for your model, check out this video tutorial on the Domino Support site.

Paco Nathan covers recent research on data infrastructure as well as adoption of machine learning and AI in the enterprise.