Orr Danon

Hailo Closes New $120 Million Funding Round and Debuts Hailo-10, A New Powerful AI Accelerator Bringing Generative AI to Edge Devices

Hailo’s funding now exceeds $340 million as the company introduces its newest AI accelerator specifically designed to process LLMs at low power consumption for the personal computer and automotive industries, bringing generative AI to the edge. Hailo, the pioneering chipmaker of edge artificial intelligence (AI) processors, announced it has extended its series C fundraising round with an additional investment of $120 million.

Video Surveillance In Traffic Management

The safe and effective movement of people and products on roads, highways, and other transportation networks depends in large part on effective traffic management. Video surveillance has developed into a crucial tool for managing traffic, enabling officials to monitor traffic flow, spot traffic infractions, and promptly address situations. The significance of video surveillance in traffic management and its advantages for drivers and traffic authorities will be discussed in this article.

Lanner Electronics Launches Falcon H8 PCIe AI Accelerator Card, Powered by Hailo-8?AI Processors

Lanner Electronics announced its first Hailo-8?AI-powered PCIe accelerator card, the Falcon H8. Lanner collaborated with leading AI (Artificial Intelligence) chipmaker Hailo to design the Falcon H8, enabling scalable and powerful intelligent video analytics applications for multiple industries operating at the edge, including intelligent transport systems (ITS), smart cities, smart retail, and Industry 4.0. The Falcon H8 is one of the most cost-efficient PCIe AI accelerator cards on the market, with a low power consumption and record high of up to 156 tera operations per second (TOPS) to allow high-end deep learning applications on edge servers.

AI Chipmaker Hailo Raises $136 Million to Expand Edge AI Solutions as Global Demand Surges

chipmaker Hailo announced it has raised $136 million in a Series C funding round led by Poalim Equity and Gil Agmon. The round was joined by existing investors, including prominent Israeli entrepreneur and Hailo Chairman Zohar Zisapel, Swiss-based ABB Technology Ventures (ATV), London?s Latitude Ventures, Israel?s OurCrowd, and new investors, including Carasso Motors, Comasco, Shlomo Group, Talcar Corporation Ltd., and Automotive Equipment (AEV) [Machshiri Tnua].

MicroSys Partners with Leading AI Chipmaker Hailo to Launch High-Performance, Embedded AI Platform

MicroSys Electronics announced its partnership with Hailo to launch its miriac AIP-LX2160A embedded platform hosting up to 5 integrated Hailo-8 AI accelerator modules. The new edge server-grade AI solution enables high-performance and scalable AI inference capabilities at the edge. The new, application-ready AI platform offers industries a high bandwidth and power-efficient solution at the edge, benefiting a wide range of applications in Industry 4.0, automotive, heavy machinery, and more.

Vecow and Hailo to Launch Next-generation Edge AI Solution

Vecow announced its partnership with chipmaker Hailo, to launch their next-generation AI solution, Vecow?s ABP-3000 AI computing system. Vecow?s ultra-slim AI solution features the compact Hailo-8 AI accelerator module, enabling breakthrough performance and AI inference capabilities at the edge. The strategic collaboration enables not only a smart AI solution with best-in-class power productivity, but ecosystem deployment at the edge.

Lanner Electronics & AI Chipmaker Launch Edge Computing Solutions

Hailo announced its partnership with Lanner Electronics, to launch groundbreaking AI inference solutions for real-time computer vision at the edge. Hailo has combined its Hailo-8 AI acceleration module with Lanner?s edge computing boxes to create high-performance, compact devices to support the demands of emerging AI applications at the edge. Smart cities, retail, and industrial operations require hundreds of cameras generating video streams that need to be processed locally, quickly, and efficiently with minimal latency.