Why data scientists shouldn't need to know about Kubernetes
VMware + Domino: How Infrastructure Abstraction Unleashes Data Scientists (Originally Aired May 24, 2022)
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Data scientists should be focused on innovation and business impact, not DevOps
Kubernetes is great for handling bursty data science workloads, providing the infrastructure abstraction and compartmentalization required to manage the data science lifecycle.
But do data scientists need to be “full stack” experts with deep understanding of Kubernetes and DevOps?
No. Bringing Domino and VMware Tanzu together makes it easier for researchers and data scientists to access the compute resources they need to deliver business impact.
Download the recording to hear from experts from VMware and Domino to learn why and how a modern IT stack can get your data scientists focused on…data science instead of DevOps challenges. You'll see:
- How Domino’s Enterprise MLOps platform can be deployed on VMware Tanzu, and...
- A demo of a powerful data science use case.
What's in it for you?
MLOps for VMware Tanzu Kubernetes Grid Clusters
Bring powerful MLOps to your enterprise IT infrastructure.
GPU acceleration...DevOps free
Unleash data scientists with unfettered compute power.
Cutting edge data science
Focus data scientists on unlocking new insights, not unlocking infrastructure.