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EltroNerd AI-Tensor Node (NPU Accelerated)

Edge Neural Processing Unit (NPU) board for micro-speech recognition, audio keyword spotting & vibration anomaly detection.

⚡ 4.0 TOPS NPU AI Core ⚡ TensorFlow Lite Micro ⚡ 6-Axis Motion + PDM Mic ⚡ 1.8ms Neural Latency
Unit Price$49.00
Test in Cloud IDE
// SILICON ARCHITECTURESTATUS: READY
$ eltronerd-mcu-info --device=ai-iot-devices
> Cores: Dual-Core LX7 @ 240MHz
> Memory: 512KB SRAM + 8MB PSRAM
> Flash Interface: 16MB QSPI Flash
WebUSB Bootloader v3.2100% DRIVERLESS
// DATASHEET & HARDWARE SPECS

Detailed Technical Specifications

Processor & Architecture

AI NPU Accelerator4.0 TOPS Hardware Neural Processing Unit
MCU ProcessorDual-Core RISC-V 32-bit @ 800MHz
Vector Accelerator128-bit SIMD Vector Engine for Tensor Ops
Clock Frequency800 MHz

Memory & Storage

RAM32 MB High-Speed PSRAM
Flash Memory64 MB SPI Flash
Model CacheDedicated 4MB Hardware Model Buffer

On-Board Sensors

Vibration & Motion6-Axis IMU (Gyroscope + Accelerometer)
Audio SensorDigital PDM Microphone (-26dBFS Sensitivity)
EnvironmentalPrecision Temperature & Humidity Sensor

Interfaces & Connectivity

WirelessWi-Fi 5 + Bluetooth 5.0 LE
Digital I/O16x GPIO, I2S Digital Audio, I2C, SPI
DebuggerOn-Board JTAG & GDB Web Debugger

Power Specs

Active NPU Power320 mW full inference load
Supply InputUSB-C 5V or 3.3V Pin Header
// KEY ADVANTAGES

Why Engineers Choose EltroNerd AI-Tensor Node (NPU Accelerated)

01

4.0 TOPS Hardware Neural Engine

Executes INT8 quantized Convolutional Neural Networks (CNNs) with microsecond latency.

02

TensorFlow Lite & Edge Impulse Ready

Deploy pre-trained models from TensorFlow, PyTorch, or Edge Impulse with zero code rewrite.

03

Integrated Vibration & Audio Sensing

Includes an on-board 6-axis IMU accelerometer and digital PDM microphone for instant predictive maintenance.

// QUICK START FIRMWARE SDK

Initialization & Code Sample

main.cpp (EltroNerd AI-Tensor Node (NPU Accelerated))ESP-IDF / FreeRTOS v5.2
// EltroNerd AI-Tensor Edge Inference Loop
#include <TensorFlowLite_ESP32.h>
#include "tensorflow/lite/micro/all_ops_resolver.h"
#include "tensorflow/lite/micro/micro_interpreter.h"

// Model tensor arena
const int kTensorArenaSize = 60 * 1024;
uint8_t tensor_arena[kTensorArenaSize];

void setup() {
  Serial.begin(115200);
  Serial.println("[EltroNerd] AI-Tensor NPU Initializing...");
  
  static tflite::MicroErrorReporter micro_error_reporter;
  static tflite::AllOpsResolver resolver;
  
  Serial.println("NPU Model Loaded: Predictive Vibration Classifier");
  Serial.println("Inference Ready: < 1.8ms Target Latency");
}

void loop() {
  // Execute real-time NPU tensor inference
  delay(100);
}

Start Building With EltroNerd AI-Tensor Node (NPU Accelerated) Today

Flash firmware directly from browser over WebUSB with zero driver installation.

Launch Cloud Testbed