TL;DR:
- Advantech and Hailo form a strategic partnership for energy-efficient edge AI.
- Hailo’s AI accelerators will enhance Advantech’s edge AI systems and modules.
- Applications include factory defect inspection, warehouse object detection, and parking management.
- Power efficiency is paramount for edge devices in robotics and autonomy.
- Hailo’s Hailo-8™ AI accelerator offers 26 TOPS at 2.5W power consumption.
- Advantech to release edge AI systems bundled with Hailo-8 M2 AI modules.
- Collaboration includes software integration for end-to-end solutions.
- Advantech’s Edge AI software integrates Hailo’s AI SDK TAPPAS.
- Market segments like industrial automation, security, and smart cities benefit.
- Partnership accelerates the development of diverse edge AI applications.
Main AI News:
In a significant stride towards innovation, Advantech, a prominent player in AIoT platforms and services, has announced an impactful strategic collaboration with Hailo, an avant-garde AI-centric chipmaker. This strategic alliance aims to bolster the energy-efficient edge AI portfolio, a move that holds the potential to reshape the landscape of AI-driven industries.
The partnership centers around the integration of Hailo’s cutting-edge AI accelerators into Advantech’s repertoire. This symbiotic fusion aims to birth an array of high-performance, yet energy-efficient edge AI systems and AI acceleration modules. These innovations are poised to cater to an array of compact and robust edge AI applications. The domains of factory AOI defect inspection, warehouse AMR object detection, and public parking lot management are just a few examples that stand to benefit.
The vast array of edge AI use cases inherently demands an eclectic mix of AI computing capabilities, power efficiency, and industrial design. In this context, power sensitivity emerges as a cornerstone consideration. The assimilation of edge devices into realms such as robotics or autonomous devices hinges upon efficient power consumption that not only preserves battery life but also extends operational endurance.
Central to this innovative collaboration is Hailo’s star product, the Hailo-8™ AI accelerator. With a commendable 26 TOPS and frugal power consumption of 2.5W, this accelerator seamlessly interlaces with edge platforms, heralding a new era of real-time deep learning inference tasks. Its compact form factor and cost-effectiveness further add to its allure.
In a strategic stride slated for the months of September and October, Advantech is all set to roll out a series of edge AI systems, fortified with Hailo-8 M2 AI acceleration modules. Among the offerings are the EPC-R3720, ARK-1250, ARK-3533, and EI-53. But it doesn’t stop at hardware. The collaboration encompasses software services, culminating in holistic solutions. Here, Advantech’s Edge AI software steps in, serving as a robust toolkit that aids clients in the evaluation, development, and deployment of diverse edge AI applications. A significant enhancement comes in the form of the integration of Hailo’s AI SDK TAPPAS, a proven performer on Advantech’s hardware models.
Speaking on the partnership, Aaron Su, Vice President of Embedded IoT Group at Advantech, expressed enthusiasm, stating, “We are excited to team up with Hailo to enable scalable high-efficiency AI capabilities at the edge.” This sentiment was echoed by Gary Huang, General Manager Greater China at Hailo, who emphasized, “Hailo is proud to be working with a leading partner like Advantech to leverage AI to empower a wide variety of market segments like industrial automation, security, and smart cities.“
Conclusion:
The alliance between Advantech and Hailo paves the way for revolutionary transformations in the market. The incorporation of energy-efficient AI accelerators into cutting-edge systems and the integration of software solutions open new avenues for industries, especially in areas like industrial automation, security, and smart cities. This collaboration accelerates the development of highly efficient and diverse edge AI applications, marking a significant step forward in the landscape of AI-powered technologies.
