Open-source machine learning infrastructure

Are you ready to accelerate your AI initiatives?

Our comprehensive reference architecture, built in collaboration with NVIDIA and Dell, provides a clear pathway to deploying and managing machine learning workloads at scale.

This document details a robust solution using open-source tools like MicroK8s and Charmed Kubeflow, optimized for NVIDIA-Certified Systems on Dell PowerEdge R7525 servers. By downloading this paper, you’ll gain access to an easy guide, hardware specifications, and best practices for deploying NVIDIA NIM, empowering your team to move from concept to production with unprecedented speed and efficiency.

Learn how to leverage the combined expertise of Canonical, NVIDIA, and Dell to enhance data analytics, optimize decision-making, and revolutionize customer experiences. Discover how to streamline your AI workflows, ensure robust security, and achieve seamless scalability. Whether you’re a data scientist, infrastructure builder, or CTO, this document provides the insights you need to drive innovation and unlock new opportunities in your domain.

Don’t miss out on the opportunity to transform your AI strategy. Download the reference architecture today and discover how to build a powerful, efficient, and secure machine learning infrastructure. Gain a competitive edge by leveraging the latest open-source technologies and cutting-edge hardware. Start your journey towards accelerated AI and empower your organization to achieve its full potential.

Fill in the form in this page and download it now.

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