Hailo
Hailo pioneers high-performance edge AI processors that bring powerful machine learning capabilities directly to devices. These specialized chips enable real-time inference with exceptional efficiency, eliminating cloud dependency while ensuring data privacy and security across diverse applications.
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Introduction
Hailo is a pioneering technology firm established in 2017, creating innovative processors designed to execute deep learning tasks directly on edge devices. Its unique chip design delivers powerful computational performance while maintaining low energy usage, compact dimensions, and competitive cost. The product lineup features the Hailo-8 accelerator capable of 26 TOPS, the recently launched Hailo-10 series optimized for generative AI within a 5W power budget, and the Hailo-15 vision processors that integrate AI inference with sophisticated computer vision capabilities. These solutions empower sectors such as automotive, industrial automation, retail, and personal computing by enabling instantaneous data processing at the source, enhancing privacy and operational reliability.
Key Features
High-Performance Edge Computing
Achieves computational speeds up to 40 TOPS with Hailo-10 and 26 TOPS with Hailo-8, facilitating immediate deep learning inference on edge hardware with outstanding spatial and energy efficiency.
Generative AI Capabilities
Hailo-10 processors efficiently run advanced models including Llama2-7B at 10 tokens per second and generate Stable Diffusion 2.1 images in just 5 seconds, all while consuming less than 5 watts of power.
Versatile Integration Solutions
Provides M.2 module configurations with PCIe Gen-3.0 connectivity, compatible with both x86 and ARM systems for straightforward implementation into various edge devices and platforms.
Robust Software Development Suite
Includes a Dataflow Compiler and comprehensive programming tools that support mainstream AI frameworks, simplifying model conversion and deployment across numerous real-world applications.
Multi-Channel Vision Processing
Enables concurrent analysis of several video streams on a single processor while preserving full data resolution, optimizing both performance and operational economics.
Use Cases
Automotive Intelligence : Enhances advanced driver-assistance systems, autonomous vehicle perception, and in-car entertainment through real-time processing essential for safety-focused applications.
Smart City Infrastructure : Supports intelligent surveillance networks, traffic flow monitoring, and urban data analytics with live object recognition and behavioral tracking across multiple video sources.
Industrial Automation : Drives quality inspection systems, predictive maintenance protocols, and robotic vision solutions in manufacturing settings demanding instant responses and unwavering reliability.
Personal Computing Enhancement : Accelerates on-device generative applications such as live translation, programming assistance, and digital content creation without internet dependency or significant resource drain.
Retail Analytics : Enables smart retail applications including shopper behavior tracking, inventory optimization, and automated payment systems through localized data processing that safeguards customer privacy.
