NVIDIA

NVIDIA DeepStream SDK

GPU-accelerated SDK for building real-time video analytics pipelines on Jetson and x86 GPUs.

Developer screen showing multiple analysed video streams

Overview

DeepStream builds streaming vision AI pipelines that decode, batch, infer and track across many camera streams on NVIDIA hardware, and is documented under NVIDIA's Metropolis vision AI framework. Release 9.1 adds access to thirteen agentic skills for video understanding.

Typical use cases

  • Multi-camera video analytics
  • Traffic and city monitoring
  • Retail and safety analytics

Deployment environment

Jetson device, edge server or cloud GPU instance

Key specifications

Type
Streaming vision AI pipeline SDK
Targets
NVIDIA discrete GPUs on x86 and NVIDIA Jetson platforms
Deployment
On premises, at the edge and in the cloud
Current release
DeepStream 9.1, with 13 agentic skills
Licence
NVIDIA proprietary SDK licence

Specifications taken from current manufacturer documentation and last checked on 2026-09-08.

Source: manufacturer documentation

Specifications are summarised from publicly published manufacturer material and are provided for orientation only. Always confirm current figures directly with the manufacturer before purchasing or designing in.

Object detection boxes drawn over a busy industrial scene
Ultralytics

Ultralytics YOLO11

Open-source vision model family covering detection, segmentation, classification, pose and oriented boxes.

Released
10 September 2024
Tasks
Detection, segmentation, classification, pose, oriented bounding boxes
Licence
AGPL-3.0, or Ultralytics Enterprise commercial licence
Deployment
Any edge device or server able to run the exported model
Industrial inspection
People and vehicle analytics
Agricultural monitoring
Developer workspace with camera feed and code side by side
Roboflow

Roboflow Inference

Open-source inference package and server that turns a computer or edge device into a vision deployment target.

Type
Inference library and HTTP inference server
Licence
Apache 2.0 core library; separate licences for model and enterprise components
Features
Model loading, pre- and post-processing, CPU and GPU optimisation, workflows
Deployment
Workstation, edge device or on-premise server
Camera-based inspection
Prototype to production vision apps
On-premise inference services