Nvidia GTC: Domino Data Lab Unveils Ecosystem Solutions with Nvidia to Accelerate Hybrid and Multi-Cloud MLOps Journey

Domino Data Lab, Inc. announced 2 solutions with Nvidia Corp’ ecosystem partners that accelerate customers’ journeys towards hybrid MLOps.

In a milestone complementing its Nexus hybrid and multi-cloud MLOps capabilities, the company’s integration with Nvidia GPUs and NetApp data management and storage solutions will allow teams to run AI/ML workloads in either data centers or AWS without refactoring them. To support partners as they advance AI centers of excellence with full-stack solutions, the firm has also released an Nvidia-validated reference architecture for integrating MLOps and on-premises Nvidia DGX systems.

Domino showcased these newly announced capabilities as a part of its Diamond Sponsorship at Nvidia’s GTC.

Becoming hybrid and multi-cloud enabled is the next step change in modern IT infrastructure. According to Forrester, 71% of organizations consider hybrid cloud support an important or critical AI platform capability for executing their AI strategy ⁽¹⁾. Enterprises need hybrid and multi-cloud data science capabilities to scale outcomes everywhere the organization operates and stores data – across clouds, cloud regions, and on-premises infrastructure. These capabilities are for driving innovation and time to value with data science, complying with data sovereignty laws, optimizing cost and mitigating vendor lock-in. 

Domino innovates with NetApp to announce AI/ML workload management across environments
To advance the hybrid MLOps vision, NetApp, Inc., provider of AI data management solutions, has validated Domino Nexus as a new solution supporting the firm’s Enterprise MLOps Platform on Amazon FSx for NetApp ONTAP. Supporting evolving hybrid workload requirements, the AWS Managed Service (AMS) solution will simplify deployment and management of large-scale applications in hybrid real-time environments.

The company’s Nexus will provide a holistic view for enterprise-wide data science workloads across all regions and environments, including the newly announced AMS solution and the existing on-premises NetApp ONTAP AI integrated solution. NetApp’s Cloud Manager will act as a control plane to build, secure, protect, and govern data with enterprise-class data services – including replication of data across environments with SnapMirror on Amazon FSx for NetApp ONTAP and transfer of NAS data between on-premises and cloud object stores with Cloud Sync. This new approach automates the data science process and accelerates AI workload deployment.

“The NetApp, Domino, and Nvidia collaboration continues to deliver industry-leading solutions,” said Phil Brotherton, VP, solutions and alliances, NetApp. “As hybrid and multi-cloud enterprise IT strategies continue to evolve, we’re committed to continue delivering best-in-class model training infrastructure together with our AI industry leaders.“

Foundation for optimized on-premises AI center of excellence partner solutions with Nvidia
In support of its Hybrid MLOps vision, the firm, with Nvidia, have created an integrated MLOps and on-premises GPU reference architecture, validated by both technology providers for optimal performance across Nvidia DGX Systems. The companies are enabling joint ecosystem solution partners such as Mark III Systems to build end-to-end AI platforms, systems, and software – all custom fit for customers’ enterprise IT infrastructure and strategies.

“Although the transformative potential of AI is obvious, the journey to building an AI Center of Excellence is not, requiring deep, full-stack AI expertise and a diverse team,” said Andy Lin, VP, strategy and innovation and CTO, Mark III Systems. “We’ve already seen some incredible client successes working with Domino, Nvidia, and NetApp, and will continue to work with enterprises and institutions to realize a competitive advantage through AI.”

Flexible path through complex territories: On premises and multi-cloud
Through 2026, nearly all multinational organizations will invest in local data processing infrastructure and services to mitigate against the risks associated with data transfer, according to David Menninger, SVP and research director, Ventana Research. Domino’s strategy for hybrid MLOps – launching as a component of the Enterprise MLOps Platform in early 2023 – aims to meet this need and others commonly faced by companies as they scale data science workloads.

“The decision to train or operationalize models on premises or in the cloud is driven by model performance, security, and regulatory considerations,” said Thomas Robinson, VP, strategic partnerships and corporate development, Domino Data Lab. “Building an ecosystem of partner solutions helps customers navigate investment decisions in complex hybrid and multi-cloud environments.”

“Scaling enterprise AI requires flexible solutions custom-tailored to align with IT infrastructure, policies, and practices,” said Matt Hull, VP, global AI data center solution sales, Nvidia. “Nvidia and Domino Data Lab are working together to enable our ecosystem of expert partners to help customers maximize productivity, with quick time-to-value using end-to-end AI solutions.“

About Domino Data Lab
It powers model-driven businesses with its Enterprise MLOps platform trusted by over 20% of the Fortune 100. Its solutions accelerates the development and deployment of data science work while increasing collaboration and governance. With the firm, enterprises worldwide can develop better medicines, grow more productive crops, and build better cars, and more. Founded in 2013, the company is backed by Coatue Management, Great Hill Partners, Highland Capital, Sequoia Capital and other investors.

^[1] Solving The Challenge Of Enterprise AI Infrastructure: IT Platform Trends That Are Scaling AI Success, a commissioned study conducted by Forrester Consulting on behalf of Nvidia and Advanced Micro Devices, September 2021.

Resources:
Domino’s sessions at Nvidia GTC, featuring speakers from Johnson & Johnson and NetApp
Domino and Mark III Systems’ blog : Five Steps to Building the AI Center of Excellence
Nvidia’s blog on Nvidia DGX portfolio announcements at GTC
Read NetApp’s blog on Nvidia-accelerated NetApp solutions announced at GTC
Domino’s hybrid MLOps perspectives : Top 5 AI Considerations for Chief Data and Analytics Executives (registration required)
Domino’s vision for Hybrid Enterprise MLOps on Domino Data Science Blog
Try Domino on Nvidia’s LaunchPad trial program