Set Yourself Up for Generative AI Success with the Top “Low Hanging” Use Cases

For most companies, Generative AI (GenAI) is no longer a question of if but how. Companies now face a critical decision that may determine whether their GenAI endeavors thrive or peter out in disillusionment.

Companies diving head-first into Generative AI must consider the risks it brings. Domino’s guide shows you how to harness GenAI responsibly. Download now!

AI costs rise with data & infrastructure needs. Domino's guide offers advice on cost controls, productivity, governance & risk - to save you money.

At Rev4, Domino recently announced the launch of Domino Model Sentry, a tightly integrated set of capabilities for building and operating AI responsibly at scale. With Domino Model Sentry, organizations can closely and continuously manage all aspects of AI throughout the entire lifecycle. This article will focus specifically on a core capability of Domino Model Sentry, Model Registry.

Controlling and tracking AI, data science and related compute costs are often manual and error prone, and require tagging specific infrastructure to distributed IT workloads. Domino.ai provides the governance guardrails necessary to reduce and control infrastructure costs, including expensive high-performance compute (e.g. GPUs) resources.

Generative AI transforms industries, but LLM deployment is tough. See how Domino simplifies LLM hosting & inference.