Deploy Computer Vision Models with Roboflow Inference and GCP

Roboflow Inference is a user-friendly tool for deploying computer vision models across various devices and environments without requiring prior machine learning expertise. It supports models like YOLOv5, YOLOv7, YOLOv8, CLIP, and SAM, and can be deployed with simple commands on systems ranging from NVIDIA GPUs to ARM CPUs. The process involves setting up a virtual machine on Google Cloud Platform (GCP), installing Docker, and running inference models locally, with HTTP and UDP interfaces eliminating the need for model-specific code. While the basic version is free, advanced features such as device management and server cluster deployment are available through a Roboflow Enterprise license, which also provides access to field engineers. The guide specifically walks through deploying a construction site safety model on GCP and highlights the additional capabilities offered by the open-source Python package "supervision" for building computer vision applications.