Artificial intelligence (AI) is opening up a whole new universe of possibilities, from virtual assistants to self-driving cars, automated factory equipment, and voice recognition in consumer devices. Maxim Integrated is there to support our move to a smarter world in all the places you would expect:

  • Efficient power-management solutions support datacenter servers for cloud-based machine learning
  • Sensors and signal-chain products enable low-power collection of data for learning and inferencing
  • Robust communication products allow the industrial IoT (IIoT) to take advantage of AI
  • And a family of low-power Arm® Cortex®-M4F microcontrollers delivers plenty of memory to implement neural networks at the edge

But Maxim is also enabling AI at the edge in an unexpected way: by providing the absolute lowest power inferencing hardware, making more complex AI inferences possible on battery power. Our unique architecture eliminates CPU processing and minimizes energy spend to make inferences run hundreds of times faster and at lower energy than when running on a conventional microcontroller. With Maxim’s technology, AI at the edge is possible everywhere.

Getting Started with the MAX78000EVKIT
13:48 October 05, 2020

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Getting Started with the MAX78000EVKIT
13:48 October 05, 2020

Featured Products

MAX78000 Ultra-Low-Power Arm Cortex-M4 Processor with FPU-Based Microcontroller with Convolutional Neural Network Accelerator

Artificial intelligence (AI) requires extreme computational horsepower, but Maxim is cutting the...
  • Dual-Core Ultra-Low-Power Microcontroller
    • Arm Cortex-M4 Processor with FPU Up to 100MHz
    • 512KB Flash and 128KB SRAM
    • Optimized Performance with 16KB Instruction Cache
    • Optional Error Correction Code (ECC-SEC-DED) for SRAM
    • 32-Bit RISC-V Coprocessor up to 60MHz
    • Up to 52 General-Purpose I/O Pins
    • 12-Bit Parallel Camera Interface
    • One I2S Master/Slave for Digital Audio Interface
  • Neural Network Accelerator
    • Highly Optimaized for Deep Convolutional Neural Networks
    • 442k 8-bit Weight Capacity with 1,2,4,8-bit Weights
    • Programmable Input Image Size up to 1024 x 1024 pixels
    • Programmable Network Depth up to 64 Layers
    • Programmable per Layer Network Channel Widths up to 1024 Channels
    • 1 and 2 Dimensional Convolution Processing
    • Streaming Mode
    • Flexibility to Support Other Network Types, Including MLP and Recurrent Neural Networks
  • Power Management Maximizes Operating Time for Battery Applications
    • Integrated Single-Inductor Multiple-Output (SIMO) Switch-Mode Power Supply (SMPS)
    • 2.0V to 3.6V SIMO Supply Voltage Range
    • Dynamic Voltage Scaling Minimizes Active Core Power Consumption
    • 22.2µA/MHz While Loop Execution at 3.0V from Cache (CM4 only)
    • Selectable SRAM Retention in Low-Power Modes with Real-Time Clock (RTC) Enabled
  • Security and Integrity
    • Available Secure Boot
    • AES 128/192/256 Hardware Acceleration Engine
    • True Random Number Generator (TRNG) Seed Generator
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The MAX78000 is a new breed of AI microcontroller built to enable neural networks to execute at ...