Subject archive for "data-infrastructure"

Vector databases
Generative AI

Domino accelerates GenAI with vector database access and RAG

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.

By John Alexander6 min read

cost savings, governance, IT compute cloud savings
Cost-Effective Data Science

How to Cut AI Infrastructure Costs by 74% with Domino

How One IT Group Did It with Three Cost Governance Strategies

By Leila Nouri5 min read

Company Updates

Data Center-Ready MLOps: Domino now validated for NVIDIA AI Enterprise

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.

By Thomas Robinson6 min read

Machine Learning

Machine Learning in Production: Software Architecture

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.

By John Joo12 min read

Data Science

Themes and Conferences per Pacoid, Episode 7

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

By Paco Nathan21 min read

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