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Gstreamer is widely used in the broadcasting industry.
About Deepstream SDK, I've heard that it's less customisable, we can run certain type of models only, I've not tested it though. But, Nvidia being a dominator in this field trying every bit of it make Deepstream widely usable.
About TensorRT, it's a model optimization library used for faster inferences on the NVIDIA GPUs.
Cuda/Cudnn platform is a must for every model inference on Nvidia's GPU.
I'm not quite sure abou the Deepstream but Gstreamer, TensorRT, Cuda/CUDNN, I've seen multiple times in job descriptions.
It doesn't hurt learning these and I think they are completely transferable skills!
Thank you!
Ai companies are moving towards edge processing, Deepstream is the best solution for constrained devices.
Companies who are really into squeezing every bit of hardware resources are using these tools.
We have a opening for the same https://www.smartcow.ai/careers/