New Nexus architecture to meet growing demand for superior data center-to-cloud flexibility, capacity and cost efficiency
Announces NVIDIA as first Nexus launch partner
SAN FRANCISCO, June 22, 2022 /PRNewswire/ — Domino Data LabProvider of the leading enterprise MLOps platform, trusted by more than 20% of the Fortune 100, today announced its new Nexus Hybrid Enterprise MLOps architecture, which will enable companies to scale data science work across multiple Rapidly scale, govern, and orchestrate clusters of compute across geographies, on-premises, and even across multiple clouds.
Despite the attention paid to cloud migration, concerns about cost, security and regulation are forcing a growing majority of organizations to adopt AI infrastructure strategies that span on-premises data centers and the cloud. 66% of IT decision makers have already invested in hybrid support for developing AI workloads, Forrester Consulting found, and 91% plan to do so within two years. First preview on Domino’s Rev 3 Conference, the new Nexus architecture enables enterprise MLOps for this new reality. It provides the portability and cost management for AI development and deployment that enterprises need and the flexibility that data science teams need to accelerate breakthrough innovation at scale.
“Although the shift to cloud is underway, more and more companies are currently having some sort of on-premises and cloud-based architecture,” he said Melanie Posee, Research Director for Cloud & Managed Services Transformation at 451 Research, part of S&P Global Market Intelligence. “The reality is that cost optimization remains an ongoing issue for both cloud veterans and cloud newcomers.”
Nexus is a highly scalable, enterprise-grade hybrid MLOps platform architecture that gives organizations the best of both worlds: the cost advantages of on-premises infrastructure and the flexibility to quickly scale to the cloud using a single point of control. Customers achieve maximum cost optimization by leveraging their own on-premises NVIDIA GPUs and offloading workloads
1 “Solving The Challenge Of Enterprise AI Infrastructure: IT Platform Trends That Are Scaling AI Success,” study commissioned and commissioned by Forrester Consulting for NVIDIA
modern micro devices, Sep 2021
2 451 Research, part of S&P Global Market Intelligence, Public cloud continues to penetrate IT landscapes, but the future is hybrid – Highlights of VotE: Cloud, Hosting & Managed Services, June 4th 2021
to cloud-based GPUs when additional capacity is needed—all without sacrificing reliability, security, or usability.
“Enterprise data science and IT organizations are constantly demanding more infrastructure flexibility to optimize compute spend, data security and avoid vendor lock-in,” he said Nick Elprin, CEO and co-founder of Domino Data Lab. “Our Nexus architecture will help our customers unleash data science while future-proofing their infrastructure investments.”
Domino Expands Collaboration with NVIDIA as First Nexus Launch Partner
Domino has already begun development of Nexus with NVIDIA as a launch partner, a venture that will include specific solution architectures validated against NVIDIA technologies, with a target release later this year. Today, enterprise IT teams can learn how to scale data science workloads by attending a free, immediately available, hands-on lab that includes the Domino Enterprise MLOps platform and the NVIDIA AI Enterprise software suite which can be accessed NVIDIA LaunchPad.
To enable further strong competitive advantages through innovative AI-enabled use cases, Domino has also joined NVIDIA AI Accelerated program, which enables software and solution partners to leverage the NVIDIA AI platform and its extensive libraries and SDKs to build accelerated AI applications for customers. Domino continues to work with NVIDIA to streamline the development, deployment, and management of GPU-trained models across a variety of computing platforms on-premises infrastructure to edge devicesLeveraging Domino and the NVIDIA AI platform, which includes: NVIDIA AI Enterprise and NVIDIA Fleet Command. Hybrid MLOps is a continuation of Domino’s vision to create the most innovative and flexible solutions, balancing customer demands for the most effective data science work.
“Enterprises are looking for AI solutions that balance performance and costs with a strategy that aligns with their IT policies and practices,” said Manuvir Das, vice president of enterprise computing at NVIDIA. “NVIDIA’s collaboration with Domino Data Lab provides customers with a powerful hybrid MLOps solution with the flexibility needed to maximize productivity throughout the AI development and deployment lifecycle.”
About Domino Data Lab
Domino Data Lab powers model-driven companies with its leading enterprise MLOps platform, trusted by over 20% of the Fortune 100. Domino accelerates the development and delivery of data science work while improving collaboration and governance. With Domino, companies around the world can develop better medicines, grow higher-yielding crops, build better cars and much more. Founded in 2013, Domino is backed by Coatue Management, Great Hill Partners, Highland Capital, Sequoia Capital and other leading investors. For more information visit www.dominodatalab.com
SOURCE Domino Data Lab