3500/42-09-01 Edge AI use cases are diverse and therefore require diversity in AI computing power, power consumption, and industrial de

sign. Power sensitivity is an important consideration when integrating edge devices into robots or autonomous devices, as lower power consu

mption can extend battery life and uptime. Hailo’s portfolio includes the Hailo-8 AI acceleration

module, which integrates seamlessly with edge platforms to enable 26 TOPS real-time deep learning inference tasks at the edge at 2.5W with low power, small size, and low cost.

It is reported that Advantech will launch a series of edge AI systems with Hailo-8 M.2 AI acceleration modules in the fourth quarter, includ

ing EPC-R3720, ARK-1250, ARK-3533 and EI-53. Advantech’s Edge AI software, a toolset to assist customers in evaluating, developing an

d deploying various edge AI applications, will integrate Hailo’3500/42-09-01 s AI SDK TAPPAS, which ha

s been validated on Advantech’s hardware models.

Aaron Su, Vice President of Advantech’s Embedded iot Business Group, said: “We are excited to partner with Hailo to enable scala

ble and efficient AI capabilities at the edge.” ; “The collaboration between Hailo and Advantech marks a joint commitment to accel

erate the development of edge AI inference applications through a diverse range of technologies, solutions and services.” ;

“We are also excited to expand our collaboration with Advantech to bring efficiency and high performance to edge AI applications.

” Gary Huang, general manager of Hailo China; Hailo is also proud to work with such an outstanding partner as Advantech to us

e AI to empower multiple market segments such as industrial automation, s3500/42-09-01 ecurity and smart cities.”