Programmable Logic


FPGAs for embedded vision and edge AI

25 November 2020 Programmable Logic

Lattice Semiconductor announced the first FPGA developed on its new Lattice Nexus FPGA platform, the CrossLink-NX. This new FPGA provides the low power, small form factor, reliability, and performance that developers need to create innovative embedded vision and AI solutions for communications, compute, industrial, automotive, and consumer systems.

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.

Key features of the CrossLink-NX include:

• Low power – built on the Lattice Nexus FPGA platform, CrossLink-NX provides up to a 75% reduction in power consumption compared to competing FPGAs of a similar class.

• High reliability – CrossLink-NX 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 ruggedised environments found in outdoor, industrial, and automotive applications.

• Enhanced performance enabled by fast I/O support, instant-on performance and high memory to logic ratio with 170 bits of memory for every logic cell.

• Small form factor – to support customer system miniaturisation, the first CrossLink-NX device is available in a 6 x 6 mm form factor which is up to ten times smaller than similar competing FPGAs in its class.

• Software tools and IP – 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 vision applications such as 4:1 image sensor aggregation.


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