Domino operationalizes the NVIDIA Enterprise AI Factory Validated Design

Enterprise AI leaders are investing in making AI work at scale. Domino’s recent survey found that in the past year, 88% of their respective organizations have improved their ability to move AI from experimentation to production:

• 66% are implementing integrated AI/ML governance systems
• 51% are building secure, structured, AI-ready data pipelines
• 44% are prioritizing hybrid cloud infrastructure as critical for enterprise-wide AI adoption

These are the durable foundations that NVIDIA Enterprise AI Factory Validated Design supports — and that Domino helps operationalize.

An architecture for impact: Domino + NVIDIA AI factory

The NVIDIA Enterprise AI Factory validated design tackles these issues directly. This isn't about a single piece of hardware or software. It’s a full-stack, prescriptive architecture for building and operating a scalable, enterprise-grade AI capability. The strategy centers on creating a cohesive system — from compute and networking to software and AI models — that works in concert to reduce the friction you face every day.

Domino is a core component of this blueprint. Our platform provides the orchestration and governance layer that operationalizes the AI Factory concept. As the functional architecture shows, Domino integrates the key components — like NVIDIA NeMo for development, NVIDIA NIM for inference, and the underlying NVIDIA-certified Systems — into a unified, collaborative environment.

From there, data scientists can track experiments, compare model versions, and promote models with full reproducibility and auditability, then deploy securely via apps, APIs, or launchers. This allows you to manage the full AI lifecycle, from data prep and experimentation to production and monitoring, within a single, coherent system.

These capabilities map closely to the NVIDIA Enterprise AI Factory validated design — and they’re already in production today. As organizations plan for NVIDIA Blackwell-based infrastructure, the pressure to fully utilize GPUs will only increase. Domino is certified for Blackwell-based architecture and NVIDIA-certified systems — and is designed to scale alongside evolving hardware stacks.

The data challenge: Fueling the AI engine with Domino Volumes for NetApp® ONTAP®

A critical, yet often overlooked, aspect of a successful AI factory is the efficient management and movement of massive datasets. GPUs are voracious consumers of data and keeping them saturated is paramount to achieving optimal performance and a positive return on investment.

This is where Domino Volumes for NetApp ONTAP (DVNO), accelerated by NVIDIA plays a pivotal role, allowing AI teams to:

• Capture one-click, efficient data snapshots for auditability and reproducibility
• Accelerate model training by removing storage bottlenecks through maximized data throughput with minimized latency
• Deliver self-service data science data access under IT control across hybrid environments using trusted NetApp ONTAP infrastructure

Whether you’re working in the cloud, on premises, or across both, DVNO helps keep expensive compute resources busy doing what they were meant to do — running models, not waiting for data.

Governance isn't a barrier, it's a requirement

Another key finding from Domino’s survey: the most mature organizations aren’t the ones doing the flashiest GenAI demos — they’re the ones formalizing governance and getting control of the basics.

66% of all respondents — and 66% of finance teams, specifically — say governance is their top AI execution priority. But 63% say they’re under-resourced to do it right.

Domino helps by building governance into the development process, not tacking it on after the fact. Teams get:

• Access controls that don’t slow anyone down
• A full system of record for model development
• Built-in support for regulatory needs across sectors

And for organizations using NVIDIA NeMo Guardrails and safety evaluation tooling, Domino provides the connective tissue that makes those capabilities part of a repeatable process.

Closing the gap between technical progress and real impact

NVIDIA Enterprise AI Factory validated design lays out a clear path for building sovereign AI: scalable infrastructure, modular agents, and a secure, flexible environment to run them.

Domino gives enterprise teams the platform to make that path usable. Together, we’re helping organizations move from early wins to sustainable systems — from prototypes to payoff.

Ways to learn more

• Find out more about DVNO on NetApp’s community blog
• See Domino and NIM in action on our on-demand webinar
• Learn about Domino’s collaborations with NVIDIA and NetApp
• Join Domino’s weekly live demo