FPGAs is power optimized for embedded vision and edge AI

December 11, 2019 //By Julien Happich
Lattice Semiconductor has announced its first FPGA developed on the company’s new Lattice Nexus FPGA platform, CrossLink-NX. FPGAs are a compelling hardware platform for embedded vision and AI applications, as they perform functions in parallel. This parallel architecture significantly accelerates certain processing workloads, including data inferencing.

The CrossLink-NX family was designed using the new Lattice Nexus platform, which combines a 28 nm FD-SOI manufacturing process with a new, Lattice-designed, FPGA fabric architecture optimized for low power operation in a small form factor. The new device provides up to a 75 percent reduction in power consumption compared to competing FPGAs of a similar class, claims the manufacturer, it has a Soft Error Rate (SER) up to 100 times lower than similar FPGAs in its class, making it a compelling solution for mission critical applications that must operate safely and reliably. The initial CrossLink-NX device is designed to support ruggedized environments found in outdoor, industrial, and automotive applications. CrossLink-NX FPGAs are well-suited for embedded vision applications thanks to support for multiple fast I/Os, including MIPI, PCIe and DDR3 memory. To efficiently power AI inferencing in Edge devices, CrossLink-NX features 170 bits of memory for every logic cell, the highest memory to logic ratio in its class, says the company, providing 2x the performance compared to prior generations. The FPGA comes in a 6x6mm form factor, up to ten times smaller than similar competing FPGAs in its class.

In addition to its new Lattice Radiant 2.0 design software, Lattice offers a robust library of popular IP cores including interfaces like MIPI D-PHY, PCIe, SGMII and OpenLDI and demos for common embedded visions applications such as 4:1 image sensor aggregation.

Lattice Semiconductor - www.latticesemi.com

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