I need assistance in comprehending the licensing terms for using the DeepStream SDK in commercial environments. It appears that utilizing the Nvidia containers with DeepStream installed from the following link is prohibited for commercial use: Nvidia NGC DeepStream Containers.
To comply with commercial usage, is it appropriate to install DeepStream from the following link where the License Type is Deployment? DeepStream Installers
Could you provide clarification on the various assets such as Development Containers, Containers, and SDK? What is difference between they? Additionally, where can I download each of them separately?
I appreciate any insights or guidance on how to proceed with the correct licensing and deploy for a commercial production environment.
License
The following licenses apply to the DeepStream SDK assets:
| Asset |
Applicable EULA |
Notes |
| SDK |
DeepStream SDK EULA |
A copy of the license is available on the following folder of the SDK:/opt/nvidia/deepstream/deepstream-6.4/LicenseAgreement.pdf |
| Containers |
DeepStream NGC License |
License grants redistribution rights allowing developers to build applications on top of the DeepStream containers |
| Development Containers |
DeepStream NGC Development License |
A development-only license. Does not allow redistribution of the container |
I found this GitHub - NVIDIA-AI-IOT/deepstream_dockers: A project demonstrating how to make DeepStream docker images. this can be used to deploy for a commercial production environment without license restriction?
Thank you for your time.
The containers provided in the link have a License Type of “Deployment.” This implies that the License Type “Deployment” can be used in production environments because they are part of the “Container” asset.
To expand on the deployment dilemma, what’s the legal statement on non-enterprise grade GPUs (i.e. GeForce) deployment? On the main NGC page of DeepStream, it states (continues reiterating it on the actual container page):
DeepStream x86 Containers: Containers for Enterprise Grade GPUs.
Where as on the documentation page of DeepStream, it suggests:
For dGPU platforms Enterprise GPUs are highly recommended for deployments that are expected to run 24x7. Gaming GPUs are not designed to perform in such type of environments.
Further down the documentation, under Platform and OS Compatibility, it shows support for non-enterprise GPUs.
How do we reconcile these information in the light of commercialization deployment using non-enterprise GPUs?
Thank you.
I think there is a bit of confusion.
We publish 4 containers for dGPU (either x86 or ARM SBSA):
Link:
The first 3 containers can be used for production and deployment.
The last container (7.1-gc-triton-devel) is a development only container and can’t be used for production.
Reason is because it includes tools that are intended for development only.
We strongly recommend using Enterprise grade GPUs as these products are intended to operate 24x7 vs. gaming cards.
We do not test or publish results on gaming cards.
With that said, there is no EULA restriction on the GPUs used.
