RK3588 + AI Accelerator Card Machine Vision Solution, an Alternative to JETSON AGX Series, with Algorithm Porting Services

▍Powerful AI Vision Accelerator The Hailo-8 AI compute accelerator card features the following:

Core Products and Specifications DX-M1: M.2 2280/2242 interface PCIe Gen3 accelerator card, 25 TOPS (INT8) compute power, onboard independent memory (4GB or 1GB LPDDR4X), power consumption approximately 3W, suitable for edge scenarios such as multi-channel video analysis and industrial quality inspection. DX-H1: PCIe full-height, half-length card, designed for servers/edge gateways, boasts 1600+ eTOPS compute power, 5nm process technology, claimed power efficiency more than 10 times that of comparable GPUs, supports large-scale concurrent inference. Key Technologies: IQ8™ intelligent quantization technology (balancing efficiency and accuracy after dataset calibration), independent memory architecture (does not occupy host RAM), dataflow optimization design. Compatibility: Supports Windows/Linux, provides DX-COM compiler, compatible with mainstream frameworks such as TensorFlow, PyTorch, ONNX, and Keras. Typical Application Scenarios Edge Multi-channel Vision Detection: Combined with host platforms like RK3588, achieves hundreds of frames per second YOLO model inference, used for security monitoring and retail customer flow statistics. Server-side Batch Inference: DX-H1 inserted into existing servers, reduces AI service power consumption and latency, suitable for inference nodes in cloud-edge collaborative architectures. Embedded Low-Power Devices: Drones, IP cameras, robotic vision modules, utilizing its low heat dissipation and high compute density to achieve local real-time intelligence.

▍Comprehensive and User-Friendly Software Ecosystem Hailo-8 boasts a comprehensive software ecosystem, providing a full-process toolchain from model conversion to deployment and operation, thereby lowering the development barrier.