by QuickLogic

An MCU + eFPGA dev kit with 100% vendor-supported open source tools that fits inside your USB port

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One Qomu with injection-molded case.


Recent Updates

As Featured In

Meet Qomu, the latest in the *omu family of devices that fit inside you USB port. What’s different about Qomu? It’s not just an MCU, it’s not just an FPGA — it’s a complete SoC that fits inside a USB port. Qomu is differentiated by its vendor-supported open source tooling -– even the FPGA tools. The Qomu dev kit is the most capable tiny USB device, featuring QuickLogic’s EOS S3 multicore MCU + eFPGA SoC and its suite of 100% open source tools, including Zephyr, FreeRTOS, nMigen, SymbiFlow, and Renode.


The QuickLogic EOS S3 SoC on Qomu integrates an Arm® Cortex®-M4F MCU and an embedded FPGA (eFPGA), which means you can seamlessly blend firmware with gateware. Whether you need an accelerated machine learning classifier or glue logic for a new peripheral, the EOS S3 SoC puts you in control of making fine-grained design tradeoffs. Qomu is the perfect EOS S3 dev kit to get started — slot it into any USB Type-A port and take your project development with you everywhere you go.

100% Open Tools

Target Qomu’s eFPGA with SymbiFlow 100% open source tools for synthesis, place and route, and bitstream generation. Many example applications and gateware are available to try out completely free. And you don’t need to be a Verilog expert to use the eFPGA; in addition to standard Verilog support with SymbiFlow, Qomu supports nMigen for a Python-to-FPGA design flow. Both Zephyr and FreeRTOS real-time embedded operating systems support Qomu, and full device simulation is available with Renode.

Open Hardware & Design Tools

Not only is the Qomu board itself open hardware, it was designed in the open source EDA platform, KiCad. Full KiCad project source files and Gerber files are available in our GitHub repository.

Qomu Case

Each Qomu comes with an injection-molded case to hold the board in the correct position for excellent USB contact and port fit. The Qomu case is derived from the exact same mold that was used on Tomu and Fomu. The Qomu case was developed and managed by Sean Cross (xobs) with Sutajio Kosagi, as has been done for all other *omu devices thus far. The photo below shows both sides of a Qomu installed in its case.

Features & Specifications

  • QuickLogic EOS S3 SoC
    • Arm® Cortex®-M4F MCU that can run up to 80 MHz with 512 KB of system memory
    • eFPGA with 2,400 effective logic cells and 64 Kbits of embedded RAM available with up to eight RAM/FIFO controllers
    • Two dedicated multipliers can be used to offload math-intensive functions
    • 16-channel DMA for efficient data movement within the SoC
    • Configurable SPI (controller and peripheral) and I²C controller interfaces
    • Ultra low power consumption, measured in µW
  • 16 Mbit flash
  • Four capacitive touch pads
  • One RGB LED
  • Injection-molded enclosure included with every board


Open Source
PCBYes Yes Yes Yes
CaseYes Yes Yes N/A
BootloaderYes Yes Yes Yes
Software Support
FPGA ToolingSymbiFlow nexpnr, SymbiFlow n/a SymbiFlow
Vendor-supported FPGA ToolsSymbiFlow None n/a SymbiFlow
RTOSZephyr, FreeRTOS n/a Zephyr Zephyr, FreeRTOS
EmulationRenode None n/a Renode
InputsFour pads Four pads Four pads 2 Push buttons (User, Reset)
OutputsThree LEDs (R, G, B) One RGB LED Two LEDs One RGB LED
GPIONone None None 20 Feather-defined + 13 additional
Fits in USB portYes Yes Yes No
USB InterfaceSoftcore Softcore Built-in Softcore
Other InterfacesN/A N/A N/A SWD connector, UART, I²C, I²S, SPI
Main chipEOS S3 ICE40UP5K EFM32HG309 EOS S3
CPUArm Cortex M4F N/A Arm Cortex M0+ Arm Cortex M4F
Speed80 MHz 12 MHz 25 MHz 80 MHz
RAM512 KB + 8 KB eFPGA block RAM 128 kB 8 kB 512 KB + 8 KB eFPGA block RAM
Flash16 Mb 2 MB 64 kB 16 Mb
LUTs891 LC ~ 2400 LUT4 5280 N/A 891 LC ~ 2400 LUT4
Clock32.768 kHz XTAL + programmable clock 48 MHz crystal N/A 32.768 kHz XTAL + programmable clock

Support & Documentation



We are a fabless semiconductor company that develops low-power, multi-core MCU, FPGAs, and embedded FPGA intellectual property (IP), voice and sensor processing.

Brian Faith

Mao Wang

Andrea Vedanayagam

Sean Cross

See Also

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