As a Data Scientist, I want to work on an RStudio Server image managed by Kubernetes with GPU capability. The motivation for doing this is that I can then access a machine learning rig that is 1) scale invariant (same from desktop to Cloud), 2) leverages Kubernetes for scheduling and 3) taps me into the Container ecosystem for CI/CD. Let’s call this a start to the problem of operationalising machine learning – MLOps. If that’s youR use case Read on. HeRe’s HobaRt.
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