The Hailo-10H AI Accelerator, part number HNC2HBI11SM, is an industrial-grade processor IC designed to add dedicated AI inference capability to an embedded or edge computing system. It targets both generative AI and computer vision workloads, allowing developers to evaluate supported models for local processing instead of relying entirely on a remote service.
The Hailo-10H provides up to 40 TOPS at INT4 precision or 20 TOPS at INT8 precision. These figures refer to different numerical precision modes. The throughput an application achieves depends on its model architecture, quantization, input size, memory configuration, host processor, and software pipeline. Stating both ratings helps engineers compare the processor against the requirements of a specific vision or generative AI model.
A direct DDR interface and LPDDR4/4X memory support help the processor address models with larger memory requirements, including suitable language and vision-language models. The IC is intended for integration into a complete hardware design. It is an accelerator that works with a host processor, rather than a standalone computer. Hailo shows PCIe and USB as host connection options for the Hailo-10H architecture.
For computer vision, the accelerator can be considered for supported image understanding, object detection, visual inspection, and video analytics applications. For generative AI, it can support compatible local language and multimodal inference workflows. Processing data on the device may reduce network traffic and allow an application to remain available when a cloud connection is limited. The practical benefit depends on how the full system and application are designed.
Hailo specifies 2.5 W typical accelerator power consumption and an industrial operating temperature range of −40°C to 85°C for this product grade. Engineers should assess power delivery, memory, board layout, and thermal performance under their actual workload before finalizing a design.
The Hailo AI software suite provides a development path from trained model to deployed inference application. It includes the Hailo Dataflow Compiler for model optimization and compilation and HailoRT for runtime execution. Hailo lists TensorFlow, TensorFlow Lite, Keras, PyTorch, and ONNX among the supported model development frameworks, with x86 and Arm host architectures and Linux, Windows, and Android operating system support.
