M.2 AI Accelerator Module With Hailo-8 26TOPS For Raspberry Pi 5, Real Time Edge Inference, Low Latency, Ultra Low 2.5W, Linux And Windows Compatible, Module Only, Supports TensorFlow And More

M.2 AI Accelerator for Raspberry Pi 5 with Hailo-8, 26TOPS
✔️ 26TOPS Hailo-8, 2.5W typical, edge inference; Linux/Windows

This M.2 AI accelerator module brings Hailo-8 AI compute to Raspberry Pi 5 in a compact, module-only form. It enables real-time edge inference with low latency and ultra-low power draw, suitable for on-device AI workloads.

✅ 26 TOPS Hailo-8 AI processor
✅ 2.5W typical power consumption
✅ Real-time edge inference with low latency
✅ Supports TensorFlow, TensorFlow Lite, ONNX, Keras, PyTorch
✅ Linux and Windows compatible
✅ Temperature range -40°C to 85°C

💡 What is an M.2 AI accelerator module used for in edge AI setups? This handy module adds on-device AI power to Raspberry Pi 5.

- On-device inference for Raspberry Pi 5 and similar SBCs
- 26 TOPS Hailo-8 performance with low power draw
- Supports TensorFlow, TensorFlow Lite, ONNX, Keras, PyTorch
- Linux and Windows support for development and deployment
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