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Microchip Adds Second Development Tool Offering for Designers Using Its Low-Power PolarFire RISC-V SoC FPGA for Embedded Vision Applications at the Edge

Platform extends customer options for designing secure and reliable systems in applications ranging from neural network inferencing to Industrial Internet of Things (IIoT) and factory automation

www.microchip.com, Nov. 23, 2021 – 

CHANDLER, Ariz., Nov. 23, 2021 – Microchip Technology (Nasdaq: MCHP) today announced the second development tool offering in its Smart Embedded Vision initiative for designers using its PolarFire® RISC-V System on Chip (SoC) Field Programmable Gate Array (FPGA). The industry's lowest-power SoC FPGA in its class, the PolarFire device is the only mid-range device of its kind that simultaneously supports dual 4K video processing and quad core RISC-V application-class processors running both the Real Time Operating System (RTOS) and rich operating systems like Linux®.

Microchip's Smart Embedded Vision development platform joins the company's previously announced VectorBlox™ software development kit (SDK) and IP for using the PolarFire devices to program a trained neural network without prior FPGA expertise. The latest offering simplifies edge-compute solution development in the thermally challenging environments of the IIoT and factory automation applications. The platform's IP, hardware and tools for these solutions include:

The platform includes support for Microchip's Mi-V RISC-V ecosystem including development tools from AdaCore, Green Hills Software, Mentor Graphics and Wind River. Commercial RTOS solutions are available including VxWorks® and Nucleus®, and free ones include Zephyr® and FreeRTOS™. Middleware solutions are available from DornerWorks, Hex Five and Veridify Security.

Microchip's PolarFire SoC FPGAs combine thermal efficiency, and defense-grade security for smart, connected systems with half the power consumption of alternatives. The PolarFire SoC and the Smart Embedded Vision Platform offer designers the choice of rich operating system-based edge compute, hard real-time, with large 2 MB memory and mixed real-time plus rich OS support. Users can learn one platform and serve three applications.

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