Accelerate Vision AI Development With Coding Agents and GPU-Accelerated Plug-Ins

DeepStream kickstarts the development of seamless real-time streaming pipelines for AI-based video, audio, and image analytics. It ships with 40+ hardware-accelerated plug-ins and 30+ sample applications and extensions to optimize pre/post processing, inference, multi-camera tracking, message brokers, and more. 

DeepStream coding agents automatically generate complete, FlowAPI-compliant DeepStream pipelines from natural language prompts — accelerating vision AI development from weeks to hours. DeepStream coding agents can use Inference Builder to leverage an extensive list of templates to ensure code quality.

DeepStream Service Maker simplifies the development process by abstracting the complexities of GStreamer to easily build C++ object-oriented applications. Use Service Maker to build complete DeepStream pipelines with a few lines of code

DeepStream Libraries powered by NVIDIA® CV-CUDA™, NvImageCodec, and PyNvVideoCodec offer low-level GPU-accelerated operations to optimize pre- and post- stages of vision AI pipelines.

Enable Multi-Camera Tracking Across
a Range of Cameras

Multiview 3D tracking (MV3DT), an extension of DeepStream NvTracker, enables distributed, real-time 3D tracking across networks of cameras. It works seamlessly with both 2D and 3D detectors, supporting a wide range of use cases. DeepStream automatically assigns unique IDs for new objects, preserving identity through occlusions and handovers.

For precise multi-camera tracking, DeepStream includes a new calibration tool that aligns multiple cameras to the deployment floor plan simultaneously. This reduces manual effort and ensures consistent, accurate results.

Build End-to-End AI Solutions

Speed up overall development efforts and unlock greater real-time performance by building end-to-end vision AI applications with NVIDIA Metropolis. Start with production-quality vision AI models, adapt and optimize them with the NVIDIA TAO Toolkit, and deploy using DeepStream. Use the Metropolis VSS Blueprint to build visual AI agents that can process thousands of live videos simultaneously to drive insights and automation.

Get incredible flexibility—from rapid prototyping to full production-level solutions—and choose your inference path. With native integration to NVIDIA Triton™ Inference Server, you can deploy models in native frameworks such as PyTorch and TensorFlow for inference. For high-throughput inference, use NVIDIA TensorRT to achieve the best possible performance.

Enjoy Seamless Development From Edge to Cloud

DeepStream’s off-the-shelf containers let you build once and deploy anywhere—on clouds, workstations with NVIDIA GPUs, or NVIDIA Jetson™ devices. With the DeepStream Container Builder and NGC containers, you can easily create scalable, high-performance AI applications managed with Kubernetes and Helm.

DeepStream REST-APIs also let you manage multiple parameters at run-time, simplifying the creation of SaaS solutions. With a standard REST-API interface, you can build web portals for control and configuration or integrate into your existing applications.

Get Production-Ready

DeepStream is available as a part of NVIDIA AI Enterprise, an end-to-end, secure, cloud-native AI software platform optimized to accelerate enterprises to the leading edge of AI.
NVIDIA AI Enterprise delivers validation and integration for NVIDIA AI open-source software, access to AI solution workflows to speed time to production, certifications to deploy AI everywhere, and enterprise-grade support, security, and API stability to mitigate the potential risks of open-source software.