CrossLink-NX-33 Voice and Vision Machine Learning Board

A Platform for Prototyping FPGA-based ML at the Edge

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The Lattice Semiconductor CrossLink-NX-33 Voice and Vision Machine Learning Board is specifically designed with low power machine learning applications in mind, using Crosslink-NX 33K, a powerful FPGA with an AI accelerator.

The CrossLink-NX-33 Voice and Vision Machine Learning Board supports a variety of expansion ports and connectors available such as PMOD connector, High-Speed connector, and Superspeed USB to allow bringing data in from various sensors and pushing data out through fast interfaces.

This board is ideal for machine learning applications and features one PMOD (Peripheral Module) connector for off board support.

Flexible connectivity – Board features expansion ports and connectors, including one PMOD connector, USB through the FTDI/JTAG interface, and high speed connector.

Interface Support – Supports onboard interfaces and external interfaces through Himax HM0360 camera sensor, two microphone sensors, and sends video output over USB3.


  • Support MIPI CSI-2 receiver (Soft D-PHY) interface for high resolution camera data
  • Support I2S interface for audio data from two microphones
  • Support SPI flash configuration and general purpose input/output
  • Support Cypress CYUSB3014 for Video Output to PC over USB3
  • Support programming software through USB/FTDI interface (JTAG or SPI) and from onboard Flash

Jump to

Kit Contents

  • CrossLink-NX-33 Voice and Vision Machine Learning Board pre-loaded with demo design
  • USB-A to USB-B (Mini) Cable for programming FPGA via a PC
  • USB-A to USB Micro-B Cable for video output
  • Quick Start Guide with Lattice Radiant software download information

Board Photos

Top View with Default Jumpers

Top View with No Jumpers

Bottom View

Side View

Ordering Information

  • Ordering Part Number: LIFCL-33-VVML-EVN
  • Click here to find an authorized Lattice distributor near you


Quick Reference
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CrossLink-NX-33 Voice and Vision Machine Learning Board – User Guide
FPGA-EB-02054 1.0 1/11/2023 PDF 1.9 MB

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