Subject archive for "cost-effective-data-science"

Lowering GenAI infrastructure compute spending with FinOps strategy
Cost-Effective Data Science

5 steps to lower generative AI (GenAI) costs and maximize impact

Despite its costs, GenAI also has the potential to transform internal processes, employee productivity, and operational efficiencies like no other technology. Learn how prioritizing projects, optimizing infrastructure, and employing FinOps software can save time and money.

By Leila Nouri13 min read

A data scientist working on her laptop at a coworking space.
Generative AI

Full LLM power and 60% cheaper: Model Cascade with Mixture of Thought on Domino

What if I told you that you could save 60% or more off of the cost of your LLM API spending without compromising on accuracy? Surprisingly, now you can.

By Subir Manuskhani and Yuval Zukerman 7 min read

Future of Data Science

Announcing Domino Fall ’23 Release

Discover powerful new capabilities for building AI, including Generative AI (GenAI), rapidly and safely at scale.

By Tim Law4 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

Vacuum cleaner vacuums money
Data Science Platform

AI Costs Keeping You Up at Night? It's time for Domino

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

By Yuval Zukerman4 min read

cost governance reporting billing savings Kubecost
Cost-Effective Data Science

Domino’s New Cost Governance Capabilities for AI Drive Accountability, Visibility & Savings

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.

By Nikhil Jethava6 min read

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