Edgi-Talk machine learning development kit features Infineon PSOC Edge E84 Edge AI SoC (Crowdfunding)

Edgi-Talk is a machine learning platform/development kit powered by an Infineon PSOC Edge E84 Arm Cortex-M55/M33 SoC featuring Arm Helium, an Arm Ethos-U55 micro NPU, and an ultra-low-power NNLite neural network accelerator, all of which enable AI/ML processing at varying power/performance levels.

The devkit also comes with 128 MB PSRAM, 128MB QSPI flash, a 4.3-inch capacitive touchscreen display, two digital microphones, a speaker, WiFi 6 and Bluetooth LE 6.0 wireless connectivity, motion and environmental sensors, as well as a 40-pin Raspberry Pi header and two PMOD connectors for expansion.

Edgi-Talk specifications:

• SoC – Infineon PSOC Edge E84
  • CPU
    • Arm Cortex-M55 @ 400 MHz with FPU, MPU, Arm Helium support, 256KB i-TCM, 256KB D-TCM, and 5MB SRAM
    • Arm Cortex-M33 @ 200 MHz with 1MB SRAM, 64KB ROM
  • GPU – Low-power 2.5D GPU
  • NPU – Dual architecture Arm Ethos-U55 NPU + NNLITE NPU
• System Memory – 128 MB PSRAM
• Storage
  • 128 MB QSPI Flash
  • MicroSD card slot
• Display – 4.3-inch MIPI-DSI high-definition capacitive touchscreen
• Audio
  • 2x digital microphones
  • 1 W amplifier for built-in speaker
• USB – USB High-Speed Type-C port
• Wireless – Dual-band Wi-Fi 6 and BLE 6.0 via Infineon AIROC CYW55512
• Sensors
  • AHT20 temperature & humidity sensor
  • LSM6DS3TR-C 6-axis inertial measurement unit
• Expansion
  • 40-pin Raspberry Pi-compatible GPIO header with UART, SPI, I2C…
  • 2x PMOD connector
• Debugging – DAP/Trace via USB-C port, 6-pin SWD pads
• Power Supply
  • 5V via USB Type-C port
  • 2-pin battery connector for standard 500 mAh 502540 LiPo battery (not included)
• Dimensions – 115 x 73 x 20 mm

The development board is supported by RT-Thread RTOS and comes pre-bundled with the XiaoZhi AI large language model, enabling users to build a voice assistant prototype, create a smart sensor hub, or develop a Smart human-computer interface (HMI).

You’ll find the RT-Thread Board Support Package (BSP) on GitHub, along with code samples (C language) for all features of the board, and basic documentation to get started with the RT-Thread Studio IDE. A video demo of the platform is embedded at the end of this post.

 

RT-Thread launched the Edgi-Talk on Crowd Supply with a $13,900 funding target, which represents 100 devkits at $139. Each includes a development board, a custom enclosure, an integrated touch display, a speaker, and two microphones for local interaction with the preinstalled Xiao Zhi large language model, as well as one USB Type-C cable. Shipping is free to the US and adds $14 to the rest of the world. Deliveries are scheduled to start at the end of February 2026.

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