Run AI at the Edge with Canonical, Lenovo and NVIDIA

Canonical MicroK8s is a Kubernetes distribution certified by the Cloud Native Computing Foundation (CNCF). Ongoing collaboration between NVIDIA and Canonical ensures continuous validation of test suites, enabling data scientists to benefit from infrastructure designed for AI at scale using their preferred MLOps (Machine Learning Operations) tooling, such as Charmed Kubeflow.

The solution architecture includes Canonical Ubuntu running on Lenovo ThinkEdge Servers, MicroK8s, and Charmed Kubeflow to provide a comprehensive solution for developing, deploying and managing AI workloads in edge computing environments, using the NVIDIA EGX platform.

This guide covers hardware specifications, tools, services, and provides a step-by-step guide for setting up the hardware and software required to run ML workloads. It also delves into other tools used for cluster monitoring and management, explaining how all these components work together in the system. At the end of it, users will have a stack that is able to run AI at the edge.

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

Contact information

First name:
Last name:
Work email:
Company name:
Job title:
Mobile/cell phone number:
Country:
I agree to receive information about Canonical's products and services.
Website:
Name:
In submitting this form, I confirm that I have read and agree to Canonical's Privacy Notice and Privacy Policy.