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OPEN SOURCE · SILICON TO PRODUCTION · FOR EMBEDDED DEVELOPERS

Build the Next Generation
of Embedded Devices

μForge.io is an open-source development platform for innovative semiconductor solutions, beginning with SiFli's SF32 family of ultra-low-power microcontrollers. From silicon and modules to development boards, SDKs, documentation, and production-ready reference designs, μForge.io brings the full stack together in one place, helping developers take connected, intelligent, and energy-efficient embedded products from idea to production faster and with less friction.

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Silicon SF32 Family For ultra-low-power, connected, intelligent embedded products.

Hardware Modules & Dev Boards Tested hardware for a faster path from design to production.

Software SDK & Tools Toolchains, middleware, and drivers.

Learn CPU, GPU Guidance for graphics, Bluetooth, audio, and low power.

Projects Watch, HMI Production-quality application examples.

  • Hardware

    Microcontrollers, modules, development boards, and production-ready reference designs.

    See Hardware

  • SDK & Tools

    SDKs, toolchains, middleware, drivers, and developer tools.

    View Develop

  • Learn

    Architecture and subsystem guidance for graphics, Bluetooth, AI, audio, and low power.

    Explore Learn

  • Examples

    Production-quality example applications for common embedded use cases.

    Browse Examples

Why Choose SF32?

  • High Performance

    Core count and features vary by device: the family ranges from single- to tri-core designs, with Cortex-M33 / STAR-MC1 processing in several families. Cache, FPU, and MPU availability depends on the specific chip and SoC implementation; check the part-level documentation. Selected devices offer up to 64 MB of in-package PSRAM.

  • Bluetooth Connectivity

    Modes and features vary by family and part. Depending on the device, support includes Bluetooth Classic and LE, LE Audio, and long-range PHY. Check the chip page for exact capabilities.

  • Graphics Acceleration

    2D / 2.5D GPU, LCD controllers, and LVGL support enable rich, smooth graphical interfaces. Across the family, supported interfaces include MIPI, RGB, QSPI, 8080, JDI, and EPD, with resolutions up to 1280 × 720.

  • Audio Subsystem

    Audio capabilities vary by family and part; supported devices offer analog audio, I²S, PDM, and hardware-assisted digital audio processing.

  • AI Acceleration

    Selected SF32 devices integrate neural-network acceleration for TinyML and other edge-inference workloads.

  • Ultra-Low Power

    Advanced power management architecture optimized for battery-powered and always-on devices.

Supported SF32 MCUs 1

  • SF32LB52

    SF32LB52x Essential Wearable MCU

    • Cortex-M33 STAR-MC1 application core + dedicated Bluetooth controller core
    • Dual-Mode Bluetooth 6.3
    • 2D / 2.5D GPU, ePicasso 2.0
    • eZip 2.0 Hardware Decompression
    • Audio Codec, 1 x AMIC, 2 x DMIC
    • 576 KB SRAM, up to 16 MB PSRAM
    • QFN68 package, with up to 45 GPIOs and optional integrated linear charger

    View Series

  • SF32LB56

    SF32LB56x Graphics-Optimized MCU

    • Dual-core Cortex-M33 STAR-MC1
    • Dual-Mode Bluetooth 6.3
    • RGB Display up to 1024 x 600
    • 2D / 2.5D GPU, ePicasso 2.0
    • eZip 2.0 Hardware Decompression
    • Audio Codec, 1 x AMIC, 4 x DMIC
    • 960 KB SRAM, up to 16 MB PSRAM
    • Available in QFN68 and BGA175 packages, with up to 44 / 120 GPIOs

    View Series

  • SF32LB57

    SF32LB57x Multimedia AIoT MCU

    • Tri-core Cortex-M33 STAR-MC1
    • Dual-Mode Bluetooth 6.3
    • RGB Display up to 1024 x 600
    • 2D / 2.5D GPU, ePicasso 3.0
    • eZip 3.0 and JPEG/MJPEG decoding
    • DCMI Camera Input up to 2 MP
    • Audio Codec, 2 x AMIC, 4 x DMIC
    • 592 KB SRAM, up to 48 MB PSRAM
    • Available in QFN68, QFN80, and BGA112 packages, with up to 46 / 47 / 58 GPIOs; some BGA112 variants add six pins for MPI3 or static outputs

    View Series

  • SF32LB58

    SF32LB58x Flagship AIoT Platform MCU

    • Tri-core Cortex-M33 STAR-MC1
    • Dual-Mode Bluetooth 6.3
    • MIPI Display up to 1280 x 720
    • 2D / 2.5D GPU + Vector Graphics, ePicasso 2.0
    • eZip 2.0 and JPEG/MJPEG decoding
    • Audio Codec, 2 x AMIC, 4 x DMIC
    • 3.7 MB SRAM, up to 64 MB PSRAM
    • Available in BGA256 package, up to 154 GPIOs

    View Series

  • SF32LB55

    SF32LB55x Mainstream BLE Wearable MCU

    • Dual-core Cortex-M33 STAR-MC1
    • Low-Power Bluetooth 5.2 Transceiver
    • 2D / 2.5D GPU, ePicasso 1.0
    • eZip 1.0 Hardware Decompression
    • AI Accelerator
    • 1.4 MB SRAM, up to 18 MB PSRAM
    • Available in QFN68, BGA145, and BGA169 packages, with up to 49 / 95 / 119 GPIOs

    View Series

  1. See the SF32 Family Overview for a detailed comparison of all devices. ↩

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