Hailo-8 deep learning processor capable of 26-TOPS

Technology News |
By Peter Clarke

Hailo said it is sampling the chip to companies across multiple industry sectors but with a focus on automotive.

The Hailo-8 processor includes memory and runs at up to 26 tera operations per second (TOPS), and when running the ResNet-50 benchmark consumes 1.67 watts and achieve 2.8TOPS/W. Hailo offers a software development kit (SDK) that was co-developed with the hardware.

Areas such as advanced driver-assistance systems (ADAS) and smart cities and smart homes often require the use of high-performance cameras to perform tasks such as semantic segmentation and object detection in real time – tasks which Hailo’s chip performs at full resolution while consuming a few watts.

According to preliminary results comparing Hailo-8TM to Nvidia’s Xavier AGX, which runs NN benchmarks such as ResNet-50,

Hailo-8 consumes almost 20 times less power than Nvidia’s Xavier AGX, while performing the same tasks under ResNet-50.

Hailo was founded in 2017 by former members of the technology unit of the Israeli Defense Forces.

Related links and articles:

News articles: 

China backs Israeli deep learning processor startup

Israel startup funded to develop deep learning processor

Analog and digital circuits for machine learning

Vayyar increases resolution of radio sensor


Linked Articles
eeNews Analog