Description
Hailo AI specializes in developing breakthrough AI processors engineered for high-performance deep learning applications directly on edge devices. These solutions are at the forefront of the new era of generative AI on the edge, while also significantly enhancing perception and video capabilities through a comprehensive range of AI accelerators and vision processors.
Their core offering includes DRAM-free co-processors that seamlessly integrate with existing edge platforms. These processors empower real-time deep learning inference tasks with remarkably low power consumption and exceptional cost-efficiency. They are designed to support a wide spectrum of neural networks, including advanced vision transformer models and large language models (LLMs), making them versatile for various AI workloads.
The Hailo-8 AI Vision Processor is tailored for superior image quality and analytics, featuring low power consumption and minimal DRAM requirements. It is ideal for AI-centric camera System-on-Chips (SoCs) that support both image enhancement and sophisticated video analytics. This includes generative AI-powered smart search and event triggering, all within a power and cost envelope suitable for cameras.
Complementing this is the Hailo-15L and Hailo-15H, designed for AI-enhanced building management, particularly for intelligent HVAC systems. These processors enable predictive and intelligent systems that can prevent failures and improve operational performance, transforming traditional building management with AI capabilities.
Hailo's technology is demonstrated in various real-world applications, from AI-powered X-ray bag screening and smart video security systems to intelligent robotic lawn care and on-device generative AI. These examples highlight the practical benefits of running advanced AI inference directly on edge devices, enabling real-time perception, navigation, and interaction without constant cloud connectivity.
The company provides essential software downloads, documentation, and resources, including a GitHub page for community engagement. Their platform supports multiple stages of AI development, from scene understanding and perception to content creation and interaction, catering to a broad range of AI-driven use cases across industries like robotics, automotive, security, and retail.
Hailo AI Edge Processors's Core Features
High-performance deep learning inference on edge devices
Optimized for generative AI and perception tasks
Low power consumption
High cost-efficiency
DRAM-free co-processor architecture
Support for a wide range of neural networks
Vision transformer model compatibility
Large Language Model (LLM) support
AI-centric camera SoCs
Image enhancement and video analytics capabilities
GenAI-powered smart search and event triggering
AI-enhanced building management solutions
Real-time AI inference on-device
Enables autonomous systems and robotics
How to use Hailo AI Edge Processors?
Explore Processors: Review Hailo's AI chip solutions like Hailo-8 and Hailo-10H.
Integrate Hardware: Incorporate Hailo's co-processors into your edge platforms.
Develop AI Models: Utilize support for various neural networks, vision transformers, and LLMs.
Deploy Edge Applications: Implement real-time inference for perception, video analytics, and generative AI.
Optimize Performance: Leverage low power and high cost-efficiency for edge device solutions.
Access Resources: Utilize software downloads, documentation, and GitHub for development.
Hailo AI Edge Processors's Use Cases
- Edge AI Inference
- Generative AI on Edge
- Video Analytics
- Robotics and Drones
- Smart Security Systems
- Automotive ADAS
- Intelligent Building Management
- Smart Retail Solutions
