2 years ago

Containers have become the unit of deployment not just for data center and cloud workloads but also for edge applications. I have seen many challenges when working with large retailers and system integrators rolling out Kubernetes-based edge infrastructure.

Late last year, SeeedStudio sent me Jetson Mate Cluster Mini, which comes with the carrier board, cooling fan, and a case.

I am excited to build a powerful AI inference engine based on 4X NVIDIA Jetson Nano modules, SeeedStudio’s Jetson Mate Mini, NVIDIA Jetpack 4.6, and the NVIDIA Triton Inference Server.

But there is no readily available container image or a Helm chart to deploy it in our K3s cluster running on Jetson Mate.