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Microchip Advances Edge AI Sensor Connectivity with Rev 2.0 PolarFire® FPGA Ethernet Sensor Bridge

  • Microchip Technology released Revision 2.0 of its PolarFire FPGA Ethernet Sensor Bridge, a smaller & production-ready board leveraging NVIDIA Holoscan Sensor Bridge technology.
  • The new board features a 60 percent smaller form factor, supports twice the number of cameras compared to the first generation, & is USB-C powered for streamlined rack deployment.
  • Designers can replace complex multi-interface sensor connections with scalable, power-efficient 10Gb Ethernet architectures, reducing system cost & bill-of-materials complexity.
  • The updated design supports up to four cameras, includes a camera connector compatible with NVIDIA Jetson, & features on-board optical latency measurement circuitry.
  • An FPGA Mezzanine Card (FMC) expansion connector supports interfaces including MIPI CSI-2, I²C, UART, & GPIO, allowing support for SLVS-EC 2.0, 12G-SDI, HDMI, & DisplayPort without core platform redesign.
  • The solution is optimized for AI-driven medical, industrial, & humanoid robotics applications powered by NVIDIA edge computing platforms like NVIDIA Jetson & IGX.
  • Built-in security & safety features protect edge AI devices, while integration with the NVIDIA Holoscan SDK accelerates development with optimized libraries & AI models.
  • The offering includes cameras, cables, reference designs, board schematics, & RTL development supported by Libero SoC Design Suite.
  • Integrated Microchip timing & power-management ICs, including the MCP16701 PMIC, are validated for PolarFire FPGAs to reduce third-party integration risk.
  • The Rev 2.0 board is available for purchase directly from Microchip or through authorized worldwide distributors.