Roboflow

Roboflow Inference

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

Developer workspace with camera feed and code side by side

Overview

Roboflow Inference is a Python package and matching HTTP server that handles model loading, pre- and post-processing, CPU and GPU optimisation and workflow execution. The core library is Apache 2.0 licensed, with separate licences for some model and enterprise directories.

Typical use cases

  • Camera-based inspection
  • Prototype to production vision apps
  • On-premise inference services

Deployment environment

Workstation, edge device or on-premise server

Key specifications

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
Interfaces
Python package and server API

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 screen showing multiple analysed video streams
NVIDIA

NVIDIA DeepStream SDK

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

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
Deployment
Jetson device, edge server or cloud GPU instance
Multi-camera video analytics
Traffic and city monitoring
Retail and safety analytics