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Design Guide—Optimize Machine Learning Through MLOps with Dell Technologies cnvrg.io
Introduction Architecture Concepts Software Architecture Solution Architecture Validation Conclusion
Summary
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Summary

Home > AI Solutions > Artificial Intelligence > Guides > Design Guide—Optimize Machine Learning Through MLOps with Dell Technologies cnvrg.io > Summary

Summary

  • MLOps is an innovative approach to the development, deployment, and management of ML that can help boost ML and AI outcomes by allowing data scientists to focus more on model development, experimentation, and training and less on operational concerns. The Validated Design for Machine Learning through MLOps with Dell Technologies and cnvrg.io enables customers to launch ML quicker and easier in an MLOps environment using a tested and proven platform for deployment.

    Built on the Validated Design for AI with VMware and NVIDIA using virtualized GPUs, the solution includes the latest version of VMware vSphere and VMware Tanzu combined with the NVIDIA AI Enterprise suite on Dell PowerEdge servers and VxRail Hyperconverged Infrastructure (HCI). The design also includes Dell PowerScale storage, which provides the necessary analytics performance and concurrency at scale to consistently feed the most data hungry AI algorithms.

    Dell Technologies and its partners are optimizing ML deployments through this full MLOps solution, enabling organizations to better embrace ML and deliver far greater value to the organization.