Get Started With the NVIDIA DeepStream SDK


DeepStream SDK 9.0

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Overview

NVIDIA DeepStream is a powerful SDK that lets you use GPU-accelerated technology to develop end-to-end streaming vision AI pipelines and agents powered by generative AI. The latest release, DeepStream 8, is packed with innovative features to accelerate the development of your next-generation applications.

Release Highlights


Release notes

DeepStream 9.0 Highlights:

  • DeepStream coding agent that enables the generation of complete video ingestion pipelines from natural language prompts
  • Support for accelerating the development of generative AI applications, dramatically reducing development time from eight weeks to eight hours
  • Support for the creation of FlowAPI-based pipelines using natural language prompts, providing greater control and direct access to DeepStream plugins and features
  • Comprehensive documentation that supports both agents and developers, enhancing automated code generation quality and overall usability
  • Validated, high-quality prompt examples to help developers achieve efficient and reliable results with the DeepStream coding agent

Containers

DeepStream is available in three different flavors of containers:

  • Triton: Single container for both x86 and Jetson. (Multi-arch)
  • Samples: Single container for both x86 and Jetson.(Multi-arch)
  • Development: x86-only container
  • Arm®: SBSA‑compliant container support for Arm‑based servers and systems, including DGX™ Spark

All Dockerfiles are also available on GitHub. For full details, check the new NGC Collection page.

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DeepStream 8.0 applications are fully compatible with DeepStream 9.0. Please read the migration guide for more information.




Python Service Marker

Learn all about how to build Pythonic applications using Python Service Maker. DeepSteam coding agents can create optimized Python Service Maker apps in minutes



Note: The Python legacy bindings source code and pre-built wheels are now available on GitHub. GitHub.


Get Started

Find everything you need to start developing your vision AI applications with DeepStream, including documentation, tutorials, and reference applications.

Quick Start Guide

Get step-by-step instructions for building vision AI pipelines using DeepStream and Jetson or discrete GPUs.


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Coding Agent

Generate complete DeepStream pipelines with Claude Code or Cursor using natural language prompts, reducing coding time from eight weeks to eight hours


Learn More Watch the Video

Multi-Camera Tracking

Learn how to add multi-view 3D tracking to your DeepStream pipelines.


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Getting Started with C/C++


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Python Service Maker

DeepStream Service Maker offers a package tailored for Python developers, providing essential bindings for pipeline APIs alongside the high-level flow APIs.


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Inference Builder

Learn how to build DeepStream apps with a declarative approach using DeepStream Inference Builder.


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Additional Resources

Technical Blogs

Webinars and GTC

DLI

Video Tutorial

Forum & FAQ

DeepStream Forums

DeepStream Forum

Tech FAQ

Technical FAQ




Ethical AI
NVIDIA platforms and application frameworks enable developers to build a wide array of AI applications. Consider potential algorithmic bias when choosing or creating the models being deployed. Also, work with the model’s developer to ensure that it meets the requirements for the relevant industry and use case; that the necessary instructions and documentation are provided to understand error rates, confidence intervals, and results; and that the model is being used under the conditions and in the manner intended.