Discover the Power of DeGirum's Hardware-Agnostic PySDK

At DeGirum, we’re committed to providing cutting-edge AI solutions that are versatile and adaptable. One of our standout features is our hardware-agnostic PySDK, designed to seamlessly integrate with various AI accelerators and application processors, allowing you to choose the best hardware for your specific needs.

Supported Hardware On the Roadmap Will Be Added On Demand
DeGirum – DeGirum Orca Qualcomm - Qualcomm® Snapdragon™ Neural Processing Engine (NPE) Tenstorrent - Tenstorrent Grayskull chip
Intel – Intel CPUs/GPUs/NPUs Texas Instruments - Texas Instruments TDA4VM processor, Jacinto 7 series SiMa.ai - SiMa.ai MLSoC™
NVIDIA – Jetson and Orin series (e.g., Jetson Nano, Jetson Xavier NX, Orin Nano, Orin NX, Orin AGX) Renesas - Renesas RZ/G2 AI MPU, Renesas DRP-AI Hailo - Hailo-8 AI Processor
NXP – NXP i.MX 8M Plus, NXP i.MX 93 STMicroelectronics - STM32 series with AI extensions, STM32MP1 Kinara - Kinara Ara-1 Edge AI Processor
AMD – AMD Ryzen Embedded series with integrated GPU Untether AI - Untether AI runAI200 device
Raspberry Pi – Raspberry Pi 4/5 with AI accelerators like the Google Coral USB Accelerator Axelera AI - Axelera AI Metis™ AI Platform
Google – Google Coral (Edge TPU) Blaize - Blaize Pathfinder P1600 SoM, Xplorer Accelerator
Rockchip – RK3588, RK3568, RK3566 Kneron - Kneron KL520 AI SoC, Kneron KL720 AI SoC
MemryX - MemryX MX3 AI Accelerator

What Does Hardware-Agnostic Mean?

Our PySDK isn’t tied to any specific hardware. Whether you’re using our DeGirum Orca, a different accelerator, or running your models in the AI Hub, our PySDK ensures compatibility and flexibility. This approach gives you the freedom to build AI applications without being locked into a single hardware platform.

Why It Matters

  • Flexibility: Use the same codebase across multiple hardware platforms.

  • Scalability: Easily switch or upgrade hardware without rewriting your AI models.

  • Efficiency: Choose the most suitable hardware for each task, optimizing performance and cost.

Learn More

Explore our PySDK Documentation to see how easy it is to get started with our hardware-agnostic AI tools.

Join the Discussion

We’d love to hear how you’re using PySDK in your projects. Share your experiences and ask questions in our Community Discussions.

This would be really helpful if someone wants to switch from one hardware to another without changing their software stack !

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