Accelerate your hybrid and multi-cloud strategy with a unified data science platform, with Domino's enterprise MLOps platform virtualized on VMware vSphere. Support data scientist collaboration and innovation with IT governance in familiar enterprise infrastructure.
Tailoring Kubernetes for Data Scientists
Kubernetes is a foundational for tool agility, faster iterations, and reproducibility within a data science platform. But data scientists shouldn't have to be infrastructure experts to realize its promise.
Domino's Enterprise MLOps Platform works together with VMware vSphere infrastructure products to boost productivity without compromising on usability, security or performance.
And IT is happy too: vSphere allows DevOps teams to manage, secure and control data center infrastructure lifecycle with their preferred hypervisor - paired with their preferred Kubernetes distribution, including VMware Tanzu, Red Hat OpenShift, Rancher or Robin.IO.
Is Kubernetes the Foundation for Enterprise MLOps?
In this on-demand panel, innovators from NVIDIA and VMware discuss the history of Kubernetes and it's rising prominence in GPU-accelerated data science.
Featuring Craig McLuckie (K8s Co-founder & VP of R&D at VMware), Chris Lamb (VP, CUDA, DGX & Cloud Computing at NVIDIA), and Chris Yang (Domino CTO).
Learn more about Domino and VMware Tanzu
Why data scientists shouldn't need to know about Kubernetes
VMware + Domino: How Infrastructure Abstraction Unleashes Data Scientists
VMware Tanzu Blog
How Infrastructure Virtualization Accelerates Data Science: VMware Tanzu and Domino Data Lab
VMware Marketplace Listing
See Domino in the VMware Marketplace