Helm chart to deploy DeepStream-l4t cotainer in AGX Xavier

Hello,

i have a jetson AGX xavier, flushed with SDK manager (Jetpack 4.6).
I am using microk8s to deploy containerized services:
CONTAINER-RUNTIME: docker://20.10.11
kubelet: V1.22
helm3 enabled.

Following Getting Started with Docker and AI workloads on NVIDIA Jetson AGX Xavier Developer Platform - Collabnix i was able to deploy the base image through docker, e.g.,

docker run --gpus all --rm -it --name human_presence /bin/bash

where i could deploy e.g., a YOLO human presence model, successfully.

However, when using helm charts, it fails with a CrashLoopBackOff.
In my version I use microk8s with helm3 (i.e., no tiller) and no gpu operator (correct me if i am wrong but the gpu operator is not compatible yet with Jetson devices)

When using microk8s with other images, it works fine (e.g.m nginx with internet access to the container etc.)

I follow DeepStream - L4T- Intelligent Video Analytics Demo | NVIDIA NGC in order to better understand how to make it work

any ideas?

best,
Pavlos.

Is the issue related with deepstream?

Hello,

yes its is related to deepstream, and is sovled.

I just added
command: [“sleep”]
args: [“infinity”]

for the container and worked fine, with microk8s and helm3 charts for deployment.

best,
Pavlos

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