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Low StockNVIDIA Jetson Nano DevKit
AI-JETSON-NANO · Stock: 22
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₹12,449
₹16,599
incl. GST
[Raspberry Pi]
NVIDIA Jetson Nano Developer Kit brings GPU-accelerated AI to robotics. Run multiple neural networks in parallel for object detection, segmentation, and speech processing — all at the edge.
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472 GFLOPS edge AI — CUDA, TensorRT ready
High-res visual shown left · QA bench-tested before dispatch.
| Operating Voltage | 5V / 4A |
|---|---|
| GPU | 128-core Maxwell |
| CPU | Quad-core Arm A57 |
| Memory | 4GB LPDDR4 |
| Storage | microSD |
| AI Perf | 472 GFLOPS |
| Connectivity | Gigabit Ethernet, USB 3.0 |
| Dimensions | 100 × 80 × 29 mm |
| Weight | 140g |
GPIO
40-pin header
CSI
Camera ×2
HDMI
Display
USB
3.0 ×4
ETH
RJ45
Wiring guide: power rails first (VCC/GND), then bus (I2C/SPI), then interrupt/PWM lines.
// Jetson Nano uses Linux — companion MCU example
// Serial bridge from Arduino Nano to Jetson
void setup() {
Serial.begin(115200);
}
void loop() {
if (Serial.available()) {
char c = Serial.read();
Serial.write(c); // echo to Jetson
}
}
import jetson.inference
import jetson.utils
net = jetson.inference.detectNet('ssd-mobilenet-v2', threshold=0.5)
camera = jetson.utils.gstCamera(1280, 720, '/dev/video0')
display = jetson.utils.glDisplay()
while display.IsOpen():
img, w, h = camera.CaptureRGBA()
detections = net.Detect(img, w, h)
display.Render(img)
// Jetson Nano uses Linux — companion MCU example
// Serial bridge from Arduino Nano to Jetson
void setup() {
Serial.begin(115200);
}
void loop() {
if (Serial.available()) {
char c = Serial.read();
Serial.write(c); // echo to Jetson
}
}
Technical datasheet for AI-JETSON-NANO.
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