Support for K8 and GPU operator

Autonomous Vehicles DRIVE AGX Orin DRIVE AGX Orin General
1

Please provide the following info (tick the boxes after creating this topic):
Software Version
DRIVE OS 6.0.6
DRIVE OS 6.0.5
DRIVE OS 6.0.4 (rev. 1)
DRIVE OS 6.0.4 SDK
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Target Operating System
Linux
QNX
other

Hardware Platform
DRIVE AGX Orin Developer Kit (940-63710-0010-D00)
DRIVE AGX Orin Developer Kit (940-63710-0010-C00)
[X DRIVE AGX Orin Developer Kit (not sure its number)
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SDK Manager Version
1.9.2.10884
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Host Machine Version
native Ubuntu Linux 20.04 Host installed with SDK Manager
native Ubuntu Linux 20.04 Host installed with DRIVE OS Docker Containers
native Ubuntu Linux 18.04 Host installed with DRIVE OS Docker Containers
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Hi There,

I am gearing up to build a lab for SDV (SW Defined Vehicle) and i would like to check if or what is the recommended config in order to support K8 (Kubernetes) and GPU operator.
The goal is to build an environment where we can control which or how many compute resources are allocated per task including AI models that utilize the GPU in a dynamic way.

4

I’ll check with our team and get back to you. Thanks.

1 Like
5

Repost

6

If you plan to deploy containers on the Tegra guest VM using Kubernetes as the orchestrator, it’s important to note that we don’t provide the Kubernetes node service on the guest VM. This service is necessary for managing resource allocation through Kubernetes.

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I was planing to use plain containers managed by K8 natively on the platform. Is there any limitations I should be aware of?
Also the second functionality is to use GPU operators to manage GPU resources allocation per task. Same is this supported as in cloud env?

9

Sorry for my late response. It’s out of our support scope.

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