Roboflow provides a full-stack computer vision MLOps platform with tools for dataset management, AI-assisted annotation, hosted model training (with GPU access), and scalable inference. Its open-source inference server supports deployment on-device, at the edge, in a VPC, or via managed API, and is compatible with popular model architectures including YOLO variants, DETR (RF-DETR), SAM/SAM2, and more. The platform exposes REST APIs and Python SDKs, and integrates natively with Ultralytics, Hugging Face, TensorFlow, PyTorch, and cloud providers like AWS, GCP, and Azure. Roboflow also maintains a suite of OSS libraries including supervision (annotation/tracking utilities), trackers, notebooks, and autodistill for labeling via foundation models.