Your Browser is Out of Date

ShareDemos uses technology that works best in other browsers.
For a full experience use one of the browsers below
Design Guide—Optimize Machine Learning Through MLOps with Dell Technologies cnvrg.io
Introduction Architecture Concepts Software Architecture Solution Architecture
Overview
Infrastructure configurations
Network configuration
Storage architecture
Validation Conclusion References

Overview

Overview

  • IT administrators who want to enable their data scientists to run AI workloads including neural network training, model development, and pushing models to production using an MLOps platform will find this validated design beneficial. cnvrg.io can be deployed on various Kubernetes infrastructures, including others provided by Dell Technologies. This chapter explains how cnvrg.io is designed to run on the Validated Design for AI with VMware and NVIDIA.

    See the following documentation for more information about the Validated Design for AI using VMware and NVIDIA:

    • White paper, which details how enterprises can run AI workloads alongside existing applications in data centers without compromising performance
    • Design guide, which describes the reference architecture of the Validated Design for AI, which was designed in collaboration with VMware and NVIDIA
    • Implementation guide, which describes the implementation for the Validated Design for AI.