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edge AI and on-device inference, computer vision, object detection, face analytics, model compilation and deployment, hardware acceleration, real time inference, multi-model pipelines, quantization and optimization, developer tools and SDKs

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DeGirum

Build, deploy, and scale edge AI with PySDK and AI Hub.

DeGirum builds tools that make edge AI development straightforward, from rapid prototyping in the cloud to deployment on real devices. Our AI Hub gives you cloud access to a device farm of real SoCs and accelerators so you can evaluate models, run inference, and use the Cloud Compiler to generate deployment artifacts without waiting for hardware bring-up.

With DeGirum PySDK, you work with one unified Python API to run inference across supported edge AI accelerators and processors. You can keep your application code largely unchanged while you experiment with different devices and move toward production.

On Hugging Face, we share edge-ready vision models and demo Spaces for use cases such as face detection, gender classification, license plate recognition, and general object detection. These models are tuned for practical, real-time performance on supported hardware.

If you are exploring edge AI, evaluating hardware options, or preparing a deployment, we welcome your feedback. The best place to ask questions or report issues is the DeGirum Community, where you can connect directly with the team.

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