Hailo vs NVIDIA Jetson Orin Nano: Which Edge AI Solution Fits Your Project?
Edge AI technologies are rapidly evolving, becoming essential in industries such as robotics, healthcare, industrial automation, smart cities, and autonomous vehicles. At Peila LTD, we frequently help customers select and integrate the best edge AI platforms for their specific needs. Two platforms we often evaluate are Hailo’s AI accelerators and the NVIDIA Jetson Orin Nano (34 TOPS). Here, we compare their strengths and ideal use-cases, enriched with benchmarks, real-world case studies, and insights to guide you in making an informed choice.
Hailo Overview
Hailo specializes in ultra-efficient, low-power AI accelerators optimized for edge inference tasks, especially in vision applications.
Key Products:
- Hailo-8
- AI Performance: Up to 26 TOPS (INT8)
- Power Consumption: ~2.5 W (typical)
- Integration: M.2 / PCIe modules requiring a separate host CPU
- Software Ecosystem: HailoRT SDK, TAPPAS pipeline toolkit, ONNX compatible
- Benchmark: YOLOv5 inference at ~10ms/frame, ideal for smart cameras
- Hailo-15
- AI Performance: Up to ~15-20 TOPS
- Fully integrated AI vision SoC for smart cameras, industrial inspection
- Benchmark: Efficiently achieves 30fps at under 5W for common object detection scenarios
NVIDIA Jetson Orin Nano Overview
The Jetson Orin Nano is a versatile, integrated edge AI platform capable of diverse AI workloads including vision and basic multimodal applications.
- AI Performance: 34 TOPS INT8
- Power Consumption: 7–15 W
- CPU/GPU Integration: ARM Cortex-A78AE CPU, Ampere GPU
- Memory Bandwidth: 68 GB/s (LPDDR5)
- Software Ecosystem: NVIDIA JetPack, CUDA, TensorRT, support for PyTorch, TensorFlow, Hugging Face Transformers
- Benchmark: YOLOv8 at ~40fps, suitable for multimodal applications and robotics
Direct Feature Comparison:
Real-World Case Studies from Peila LTD:
- Hailo-15 in Industrial Inspection: We deployed Hailo-15 SoCs in industrial camera systems achieving stable real-time inspection at 30fps while maintaining power efficiency below 5W, significantly reducing energy costs and enabling compact device designs.
- Jetson Orin Nano in Robotics: In autonomous robot deployments, Jetson Orin Nano successfully managed multimodal AI workloads—object detection, sensor fusion, and real-time decision-making—efficiently balancing performance and power consumption.
Avoiding Overkill: Matching TOPS to Real-Life Applications:
In practical edge AI deployments, excessive TOPS might not directly translate to meaningful performance improvements. For instance, many industrial vision applications only require 10–20 TOPS. Deploying platforms far exceeding these requirements increases complexity, power usage, and cost without substantial benefits. At Peila, we ensure the hardware you select matches your specific needs precisely, optimizing cost-efficiency and performance.
Decision-Making Guide:
- Power and Efficiency Critical? → Choose Hailo-8 or Hailo-15
- Moderate Multimodal AI and Flexibility Needed? → Choose Jetson Orin Nano (34 TOPS)
- Budget and Ecosystem Constraints? → Evaluate existing infrastructure and software support
Peila’s Expertise and Your Advantage:
At Peila LTD, we provide end-to-end support, from selecting the optimal edge AI hardware platform to tailored integration and optimization solutions. With our extensive experience deploying Hailo and NVIDIA Jetson solutions across diverse industrial and commercial scenarios, we ensure your AI application not only meets performance expectations but also achieves optimal efficiency and reliability.
Ready to discuss how Peila can empower your edge AI journey? Contact our team today!
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