Roboflow Inference

Open-source computer vision inference server for deploying vision models

AI Infrastructure & MLOpsFree

Roboflow Inference is an open-source inference server for deploying computer vision models with support for object detection, classification, segmentation, and pose estimation using popular model architectures. It provides a consistent API for running models locally, on edge devices, or in cloud environments, with built-in optimization for different hardware including GPUs, CPUs, and edge devices. The server integrates seamlessly with models trained in Roboflow and supports popular frameworks like YOLOv8, SAM, and CLIP. Computer vision engineers deploying production vision systems, robotics developers running models on edge devices, and teams needing consistent inference APIs across environments use Roboflow Inference for its deployment flexibility.

Key Features

• ✓Edge deployment
• ✓Multiple architectures
• ✓GPU optimization
• ✓Consistent API
• ✓Open-source