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DeGirum Delivers Industry’s First Hardware-Agnostic PySDK – Simplifies Edge AI Development

Degirum logo

Focused on Vision Processing, Industrial, Automotive, and Smart Retail Applications Development

DeGirum, a leader in edge AI, announced the release of its hardware-agnostic PySDK, designed to streamline AI development at the edge. DeGirum’s PySDK provides a unified software stack that allows developers to add AI to any application with just two lines of code. PySDK supports a wide range of hardware:

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Accelerators 

  • NVIDIA GPUs
  • Hailo
  • MemryX
  • Google Edge TPU
  • BrainChip

Application Processors

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  • Intel
  • AMD
  • Texas Instruments
  • NXP
  • Rockchip
  • Raspberry Pi

Key Benefits

  • Hardware Agnostic: PySDK supports a wide variety of hardware options, giving developers the flexibility to choose the best hardware without vendor lock-in.
  • Comprehensive Inference API: The API manages essential tasks: decoding, resizing, pre-processing, inferencing, and post-processing.
  • Scalability: Applications can be scaled easily by adding hardware without requiring changes to existing code.
  • Seamless Transition from AI Hub to Edge: PySDK is integrated with DeGirum’s AI Hub, enabling developers to prototype in a hosted environment and then migrate to a run-time environment.

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DeGirum AI Hub

DeGirum’s AI Hub enables rapid AI prototyping without the need for hardware setup. The platform offers extensive model support, giving developers access to 1000+ production-ready machine learning models to kickstart development. The platform features a model porting toolchain that converts training checkpoints into deployable models across various hardware targets. The AI Hub also hosts extensive model zoos, enabling edge devices to load and update models on demand, eliminating the need to bundle models within applications.

Expanding Accessibility with JavaScript SDK

DeGirum is introducing DeGirumJS, a JavaScript SDK designed to enable seamless integration into web and mobile applications. With DeGirumJS, developers can run AI models in the browser, bringing real-time object detection, image classification, and more.

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