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End-to-end AI OS with cnvrg.io and Dell Technologies

Efficiently deliver advance AI applications with the cnvrg.io and Dell Technologies joint solutions

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Accelerating ML/AI workloads by a dataset caching tier

cnvrg.io and Dell Technologies have partners to deliver a new ML architecture that accelerates ML/AL workloads with a Kubernetes based dataset caching, version control, querying and more. Learn more in our solution guide

MLOps Solution Guide
Data Science Solution Guide
White Paper: MLOps

Delivering MLOps in the Dell Autonomous Driving Reference Architecture

cnvrg.io delivers the unique capabilities required for ADAS development. Our focus on seamless CI/CD integration, dataset caching and hybrid computation capabilities (cloud, on-prem and edge) makes cnvrg.io an ideal solution for developing new AD/ADAS features. With cnvrg.io, Dell Technologies customers can reach production faster while data scientists can drastically improve productivity. Learn more in our solution guide.

“Dell’s Autonomous Drive Ecosystem has been developed to deliver a state-of-the-art reference architecture for our customers to create top of the line AI features. We’re confident in cnvrg.io’s capabilities to deliver the MLOps solutions within our ecosystem for a complete end-to-end tool kit.” Florian Baumann, CTO of Automotive & AI at Dell Technologies
Florian Baumann
CTO of Automotive & AI at Dell Technologies

MLOps for the Autonomous Drive Workflow with Dell Technologies

Resources

MLOps Solution Guide
Blog
Data Science Solution Guide
White Paper: MLOps