Hailo from Tel Aviv announced the the first samples of its Hailo-8 Deep Learning Processor were delivered to selected partners, mainly from the automotive industry. To allow running deep learning applications on the edge devices, Hailo re-designed the main pillars of computer architecture: memory, control, and compute and added a comprehensive Software Development Kit (SDK) co-developed with the hardware.
The result is a 16 nano-meter chip produced by TSMC capable of delivering up to 26 Tera Operations Per Second (TOPS). The company said that during ResNet-50 benchmark tests, Hailo-8 outperformed Nvidia’s Xavier AGX and consumed almost 20 times less power while performing the same tasks. Hailo was established in 2017 by former members of the Israel Defense Forces’ intelligence unit.
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Its deep learning processor is designed to run complex algorithms on autonomous vehicles, smart cameras, smartphones, drones, AR/VR platforms, and wearable devices. The company said it is now working in cooperation with tier-1 automotive companies on advanced driver-assistance systems (ADAS), and with major players in smart city and smart home markets, to empower powerful IoT devices.
“In recent years, we’ve witnessed an ever-growing list of applications unlocked by deep learning, which were made possible thanks to server-class GPUs,” said Orr Danon, CEO of Hailo. “However, there is a crucial need for an analogous architecture that replaces processors of the past, enabling deep learning to run devices at the edge. Hailo’s chip was designed from the ground up to do just that.”