Beginner Guidance for DeepStream SDK on Multi-GPU Setup (RTX 2000 Ada with WSL and H100 with Ubuntu)

Accelerated Computing Intelligent Video Analytics DeepStream SDK
, , ,
1

I am new to the DeepStream SDK and looking for guidance on how to get started. My setup includes:
*Local GPU: RTX 2000 Ada (8GB) running with WSL on Windows.
*Remote GPU: H100 (80GB) running Ubuntu.

My goal is to understand how to leverage DeepStream for both local testing (on WSL) and eventually scale up on the H100 with Ubuntu.

I would greatly appreciate any beginner-friendly resources, tutorials, or recommendations on setting up DeepStream SDK for this multi-GPU, multi-platform setup. Specifically, I’m interested in:

  1. Basic understanding of DeepStream SDK workflows and core features.
  2. Integrating NIMs and Models from the NGC .

Thanks in advance for any advice or links to documentation that might help me get started!

3

DeepStream SDK is developed based on GStreamer framework GStreamer: open source multimedia framework. Before you start with DeepStream, you need to make sure you are familiar with basic GStreamer concepts and knowledge.

All the DeepStream resources are listed in DeepStream SDK - Get Started | NVIDIA Developer

4

There is no update from you for a period, assuming this is not an issue anymore. Hence we are closing this topic. If need further support, please open a new one. Thanks

5

This topic was automatically closed 14 days after the last reply. New replies are no longer allowed.