Blog archive, page 4

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

Model Governance

Taming Model Sprawl with Domino Model Registry

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.

By Tim Law7 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. 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

An illustration of a large language model as production line
Data Science

Crossing the Frontier: LLM Inference on Domino

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

By Subir Mansukhani10 min read

Watchmaker working on an exquisite watch
Generative Models

Breaking Generative AI Barriers with Efficient Fine-Tuning Techniques

This blog post explores the challenges of fine-tuning large language models (LLMs) and introduces resource-optimized and parameter-efficient techniques such as quantization, LoRA, and Zero Redundancy Optimization (ZeRO). By fine-tuning Falcon-7b, Falcon-40b, and GPTJ-6b, we demonstrate how these techniques offer improved performance, cost-effectiveness, and resource optimization in LLM fine-tuning. The blog post also discusses the future of fine-tuning and its potential for unlocking new possibilities in enterprise AI applications.

By Subir Mansukhani9 min read

Domino and NVIDIA bring generative AI to the enterprise
Product Updates

Beyond the Hype: Domino Offers Production-Ready Generative AI Powered by NVIDIA

With the ongoing generative AI hype, one concept is becoming increasingly clear: giant, generic generative AI models, by themselves, are not the key to unlocking business value. While they are excellent for experimentation, entertainment, and some limited end-user work augmentation (ChatGPT might have helped with parts of this blog), they often fall short in terms of performance, accuracy, and risk when they aren't production grade.

By David Schulman9 min read

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