Domino Data Lab Announces Hybrid MLOps Architecture to Future-Proof Model-Driven Business at Scale

Domino Data Lab, provider of the leading Enterprise MLOps platform trusted by over 20% of the Fortune 100, announced its new Nexus hybrid Enterprise MLOps architecture that will allow companies to rapidly scale, control and orchestrate data science work across different compute clusters — in different geographic regions, on premises, and even across multiple clouds.

Despite the attention paid to cloud migration, concerns over cost, security and regulations compel a growing majority of enterprises to adopt AI infrastructure strategies that straddle on-premises data centers and the cloud. 66% of IT decision makers have already invested in hybrid support for AI workload development, Forrester Consulting found, and 91% plan to do so within two years. First previewed at Domino’s Rev 3 conference, the new Nexus architecture enables Enterprise MLOps for this new reality. It delivers the portability and cost management for AI development and deployment that enterprises require, and flexibility that data science teams need, to accelerate breakthrough innovations at scale.

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“Though the shift to cloud is on, a growing number of enterprises have some type of on-premises and cloud-based architecture currently in place,” said Melanie Posey, Research Director for Cloud & Managed Services Transformation at 451 Research, a part of S&P Global Market Intelligence. “The reality is that cost optimization persists as an ongoing issue for both cloud veterans and cloud beginners.”

Nexus is a highly scalable hybrid Enterprise MLOps platform architecture delivering enterprises the best of both worlds: the cost benefits of on-premises infrastructure and the flexibility to quickly scale to the cloud using a single control point. Customers gain maximum cost optimization by leveraging owned on-premises NVIDIA GPUs, and the ability to move workloads

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