Hailo AI
PaidHigh-performance AI processors for the edge
About Hailo AI
Hailo offers breakthrough AI processors uniquely designed to enable high-performance deep learning applications on edge devices. Their processors are geared towards the new era of generative AI on the edge, in parallel to enabling perception and video enhancement through a wide range of AI accelerators and vision processors. Hailo aims to make high-performance AI widely available and affordable, helping make people’s lives safer, more convenient, and more productive, without compromising their privacy and security.
How to Use
Users can explore Hailo's range of AI accelerators, AI vision processors, and software solutions for various applications. They can connect with Hailo's expert team through the product inquiry form on the website to get tailored AI solutions, insights, and guidance for their specific needs.
Key Features
- AI Accelerators (Hailo-8, Hailo-8L, Hailo-10H, M.2 modules, mPCIe modules, PCIe cards)
- AI Vision Processors (Hailo-15)
- Hailo AI Software Suite (Dataflow Compiler, HailoRT, Model Zoo, Model Explorer, TAPPAS)
- Vision Processor Software Package (Hailo OS, Hailo Media Library, Hailo Imaging, HailoDSP, Hailo Camera Applications)
Use Cases
- Automotive (ADAS & AD, Generative AI for smart cockpit/IVI)
- Security (Intelligent Transportation, Perimeter Protection, Access Control)
- Industrial Automation (Automatic Optical Inspection, Anomaly Detection, Sorting, OCR, Pick & Place)
- Retail (Smart Retail, Point of Sale, Supply Chain Management)
- Personal Compute (Generative AI)
Key Features
Pros & Cons
- Designed specifically for high-performance AI inference on power-constrained edge devices
- Supports both traditional perception and generative AI workloads
- Comprehensive software stack simplifies model deployment and optimization
- Offers a range of form factors (modules, PCIe cards) for flexible integration
- Focus on privacy and security by processing data locally on device
- Primarily hardware-oriented solution, requiring physical integration for deployment
- Not a pure SaaS or cloud-based tool; upfront hardware investment needed
- May have a learning curve for developers new to edge AI hardware and toolchains
- Limited ecosystem compared to larger competitors in the AI hardware space
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