Hailo
- 21 profiles
- 6 categories
Featured Products
All Products & Services
Hailo OS is a Yocto-based Linux distribution tailored for the Hailo-15 AI Vision Processor, providing a comprehensive Board Support Package (BSP) that includes essential drivers, libraries, and tools for developing AI-powered smart camera applications.
The Hailo Dataflow Compiler (DFC) is a pivotal component of the Hailo AI Software Suite, designed to facilitate the seamless deployment of deep learning models onto Hailo's AI processors. It streamlines the process of translating high-level neural network models into optimized, hardware-compatible representations, ensuring efficient execution on Hailo's hardware platforms.
The Hailo-8 M.2 AI Acceleration Module is a high-performance AI accelerator designed for edge devices, compatible with NGFF M.2 form factors including M, B+M, and A+E keys. Powered by the Hailo-8 AI processor, it delivers up to 26 tera-operations per second (TOPS) with exceptional power efficiency. This module enables real-time, low-latency deep neural network inferencing across various market segments, facilitating the rapid deployment of advanced AI applications on existing edge devices equipped with M.2 sockets.
The Hailo-8L M.2 Entry-Level Acceleration Module is an AI accelerator designed to enhance edge devices with efficient, real-time deep learning capabilities. Powered by the Hailo-8L AI processor, it delivers up to 13 tera-operations per second (TOPS) while maintaining high power and cost efficiency. Compatible with M.2 form factors Key B+M and Key A+E, this module integrates seamlessly into existing edge devices, enabling low-latency AI inferencing across various applications.
The Hailo-8L Entry-Level AI Accelerator is a compact and efficient processor designed to bring advanced artificial intelligence capabilities to entry-level edge devices. With a performance of up to 13 tera-operations per second (TOPS), it enables real-time AI processing in applications that require limited AI capacity or lower performance. Its superior area and power efficiency make it an ideal solution for integrating AI functionalities into cost-sensitive and space-constrained devices.
The Hailo-8 Century High Performance PCIe Card is an advanced AI accelerator designed to meet the demands of modern intelligent vision systems, which require high-resolution, high-frame-rate, and multi-sensor capabilities. This PCIe card delivers up to 208 Tera Operations Per Second (TOPS) of AI performance while maintaining low power consumption, making it ideal for real-time deep neural network inferencing across various industry applications.
Hailo's Partners Ecosystem is a comprehensive network of collaborations with leading hardware, software, and technology partners, as well as distributors and design partners. This ecosystem is designed to provide seamless integration of Hailo's AI processors and modules, delivering high-performance, reliable, and industry-standard AI solutions. By leveraging this extensive network, Hailo aims to transform the edge AI market by offering data center-class AI performance within an embedded power envelope.
The Hailo-8R Mini PCIe AI Acceleration Module is a high-performance AI accelerator designed for edge devices, compatible with the PCI Express Mini (mPCIe) form factor. It delivers up to 13 tera-operations per second (TOPS) with exceptional power efficiency, enabling real-time, low-latency deep neural network inferencing across various applications. This module can be seamlessly integrated into existing edge devices equipped with an mPCIe Full-Mini socket, facilitating rapid deployment of advanced AI capabilities. Leveraging Hailo's comprehensive Dataflow Compiler and support for standard AI frameworks, users can efficiently port their neural network models to the Hailo-8R, accelerating time-to-market for AI-driven products.
TAPPAS is Hailo's comprehensive software package designed to streamline the development and deployment of AI applications on edge devices. It offers a suite of fully functional application examples that integrate pipeline elements with pre-trained AI tasks, facilitating rapid prototyping and reducing time-to-market for developers.
