Hailo, an AI-focused, Israel-based chipmaker, has developed a specialized Artificial Intelligence (AI) processor that delivers the performance of a data center-class computer to edge devices. Hailo’s AI processor reimagines traditional computer architecture, enabling smart devices to perform sophisticated deep learning tasks such as object detection and segmentation in real time, with minimal power consumption, size, and cost. Supported by its Hailo-8™ M.2 and Mini PCIe high-performance AI acceleration modules, the deep learning processor is designed to fit into a multitude of smart machines and devices, impacting a wide variety of sectors including automotive, industry 4.0, smart cities, smart homes, and retail. The company was founded in 2017 by members of the Israel Defense Forces’ elite technology unit.
Hailo Technology Partner
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Variscite has joined Hailo, a leading Artificial Intelligence (AI) chip company, to launch a ready-to-use reference platform enabling high-performance and scalable AI capabilities at the edge.
The partnership aims to deliver, complete edge AI solution that combines Variscite’s i.MX 8 platforms with Hailo’s Mini PCIe AI module to enable companies that are interested in running full-scale deep learning (DL)-based applications more efficiently and sustainably while significantly lowering their costs.
Variscite’s product portfolio includes the DART-MX8M-PLUS and VAR-SOM-MX8M-PLUS powered by NXP’s i.MX 8M Plus processor with dedicated AI capabilities up to 2.3 tera-operations per second (TOPS).
The partnership aims to deliver, complete edge AI solution that combines Variscite’s i.MX 8 platforms with Hailo’s Mini PCIe AI module to enable companies that are interested in running full-scale deep learning (DL)-based applications more efficiently and sustainably while significantly lowering their costs.
Variscite’s product portfolio includes the DART-MX8M-PLUS and VAR-SOM-MX8M-PLUS powered by NXP’s i.MX 8M Plus processor with dedicated AI capabilities up to 2.3 tera-operations per second (TOPS).
08.11.2021

