Announcing On-Prem and Offline Mode for Roboflow Deploy
Blog post from Roboflow
Roboflow has introduced an On-Prem Inference Server that allows users to train custom computer vision models with a single click and deploy them securely in environments where sensitive data cannot be sent to remote-hosted APIs, such as private healthcare or classified intelligence data. The server can be deployed using a Docker container within a private cloud or network, ensuring data remains secure. Users can easily update model versions by changing a single line of code, and the server includes an offline mode that stores model weights locally for up to 30 days, making it suitable for applications like autonomous vehicles without consistent internet access. These features are part of Roboflow Enterprise, which is already being utilized by leading companies in their computer vision projects.
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