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Product Description

Sipeed M1W WiFi version ( 1st RISC-V 64 AI Module, K210 inside )

M1W AI module system is mainly composed of power supply (3 Channel DC-DC), Flash chip (16M) circuit, K210 chip and WiFi chip. As the core unit, K210 is very powerful. The chip has a built-in 64-bit dual-core processor and has 8M of on-chip SRAM. The module has outstanding performance in AI machine vision and visual performance. The chip's total computing power can reach 1TOPS. The chip has a variety of hardware acceleration units (KPU, FPU, FFT, etc.), which can easily implement machine vision / hearing algorithms for various application scenarios. It can also perform pre-processing of voice direction scanning and voice data output. The M1W module is embedded with unlimited WiFi functions, which can easily achieve networked control.

1. Features

  • Dual-core 64-bit processor with hardware floating-point operation, up to 800MHz frequency (the highest supported frequency is based on the development board design)
  • Built-in 8MB (6MB + 2MB) RAM
  • 16MB Flash
  • Commonly used peripherals such as I2C, SPI, I2S, WDT, TIMER, RTC, UART, GPIO, DVP, DMAC, etc.
  • Unique programmable IO array (ie FPIOA, peripherals can be mapped to any pin) for more flexible product design
  • Joint Test Working Group (JTAG)
  • With machine vision capabilities
  • With machine hearing and speech recognition, built-in voice processing unit (APU)
  • With convolutional artificial neural network hardware accelerator KPU, high performance convolution artificial neural network operation
  • Fast Fourier Transform Accelerator (FFT Accelerater)
  • Hardware AES encryption and decryption
  • Secure Hash Algorithm Accelerator SHA256
  • Low voltage, lower power consumption than systems with the same processing power
  • Support firmware encryption, difficult to crack using common methods
  • 3.3V/1.8V dual voltage support, no level shifting, cost saving
  • TSMC 28nm advanced process, temperature range -40 ° C to 125 ° C, stable and reliable
  • Metal shield shell to enhance anti-interference ability

2. Docs & Download


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