Teradata has launched the AI Factory, an integrated solution for managing the AI lifecycle on premises, helping data scientists avoid complex hybrid infrastructures. This approach reduces friction by using existing tools bundled together, allowing organizations to maintain control over their data and costs. AI Factory combines Teradata's database engine and AI Workbench with essential microservices, offering a ready-to-run stack that facilitates governance and performance in AI deployments. It addresses the issues of overloading shared infrastructure by enabling dedicated AI workstreams on premises, enhancing efficiency for enterprises.
AI Factory simplifies this process, separating the infrastructures where needed and making it possible to do all of the AI workstream, or at least the most expensive part of it, on premises.
This can give organizations predicable costs and more control over their data sovereignty.
AI Factory represents a single, integrated, and ready-to-run stack that combines essential tools, fostering improved governance and performance for AI use.
Teradata integrated ModelOps, vector search, and AI microservices to provide a scalable AI solution for enterprises, streamlining the AI lifecycle management.
Collection
[
|
...
]