• Core

  Cortex-M4, 96 MHz

• Family

  MAX78000 family

• CMSIS Pack

  MAX78000

The MAX78000 is an advanced system-on-chip featuring an Arm® Cortex®-M4 with FPU CPU for efficient system
control with an ultra-low-power deep neural network accelerator. The CNN engine has a weight storage memory of
442KB, and can support 1-, 2-, 4-, and 8-bit weights (supporting networks of up to 3.5 million weights). The CNN
weight memory is SRAM-based, so AI network updates can be made on the fly. The CNN engine also has 512KB
of data memory. The CNN architecture is highly flexible, allowing networks to be trained in conventional toolsets
like PyTorch® and TensorFlow®, then converted for execution on the MAX78000 using tools provided by Maxim.
In addition to the memory in the CNN engine, the MAX78000 has large on-chip system memory for the microcontroller core,
with 512KB flash and up to 128KB SRAM. Multiple high-speed and low-power communications interfaces are supported, including I2S
and a parallel camera interface (PCIF).

Artificial intelligence (AI) requires extreme computational horsepower, but Maxim is cutting the power cord from
AI insights. The MAX78000 is a new breed of AI microcontroller built to enable neural networks to execute at ultra-low power
and live at the edge of the IoT. This product combines the most energy-efficient AI processing with Maxim's proven ultra-low
power microcontrollers. Our hardware-based convolutional neural network (CNN) accelerator enables battery-powered applications
to execute AI inferences while spending only microjoules of energy