Specifications
AI Performance
13 TOPS (INT8)
Form Factor
PCI Express Mini Card, Full-Mini F1
Dimensions
30 x 50.95 mm
Host Interface
PCIe Gen 3.0, 1 lane
Host Architecture
x86 or Arm
Supported OS
Linux and Windows
AI Frameworks
TensorFlow, TensorFlow Lite, Keras, PyTorch, ONNX
Operating Temperature
-40 C to +85 C (extended/rugged)
Power Efficiency
Industry-leading TOPS/W for edge inference
Software Suite
Hailo Dataflow Compiler, HailoRT runtime, Hailo Model Zoo
Scalability
Concurrent multi-stream and multi-model processing
Certification
CE, FCC
Deployment
Plugs into any existing edge device with an mPCIe Full-Mini socket
Target Applications
Automotive ADAS/AD, robotics, drones, security, industrial automation
Overview
The Hailo-8R Mini PCIe Module is a ruggedized AI accelerator built around Hailo's dataflow-architecture neural processor. It fits the industry-standard PCI Express Mini Card (mPCIe) Full-Mini F1 form factor, letting designers add real-time deep neural network inferencing to an existing edge device without a platform redesign.
Rated for an extended -40 C to +85 C temperature range and delivering up to 13 tera-operations per second (TOPS), the Hailo-8R targets automotive and industrial deployments where vibration, heat and mission lifetime matter. It leverages the same Hailo Dataflow Compiler and HailoRT runtime as the rest of the Hailo-8 family, so models ported from TensorFlow, PyTorch or ONNX run out of the box.
Key Benefits
Standard form factor, fast time to market. The mPCIe Full-Mini socket means the Hailo-8R drops into existing carrier boards with no re-spin. Rugged -40 to +85 C operation suits automotive cabins, roadside cabinets and factory floors. Best-in-class power efficiency keeps thermal budgets low, and multi-stream concurrency lets one module run several camera or sensor pipelines at once.
Applications
Automotive ADAS and autonomous driving, smart-cockpit and IVI generative AI, robotics and drones, security and intelligent transportation, perimeter protection and access control, industrial automation, retail analytics and personal computing.
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