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NVIDIA Jetson Xavier NX 8GB Module AI & Robotics SBC High Performance Compact

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NVIDIA JETSON BOARDS & ACCESSORIES for premium buyers

The NVIDIA Jetson Xavier NX 8GB Module AI & Robotics SBC High Performance Compact by NVIDIA is a premium nvidia jetson boards & accessories designed for premium buyers. It features Processor Type: 6-core Carmel ARM®v8.2 and GPU: NVIDIA Volta architecture with 384 NVIDIA CUDA® cores and 48 Tensor cores.

compact and portable
₹96,874
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Total: ₹96,874
Buying tip: A top-tier option — the best features and quality available in this category.
Estimated delivery: 17 Aug31 Aug
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Quick Specs

Processor Type: 6-core Carmel ARM®v8.2
GPU: NVIDIA Volta architecture with 384 NVIDIA CUDA® cores and 48 Tensor cores
Max GPU Frequency(MHz): 1100
CPU: 6-core NVIDIA Carmel ARM®v8.2 64-bit CPU 6 MB L2 + 4 MB L3
Max CPU Frequency(MHz): 1900
Storage Capacity: 16 GB eMMC 5.1

Ideal For

On-the-go useEveryday convenience
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SKU: robu-1095196Category: NVIDIA JETSON BOARDS & ACCESSORIES

About This Product

The NVIDIA Jetson Xavier NX 8GB Module AI & Robotics SBC High Performance Compact by NVIDIA is a premium nvidia jetson boards & accessories designed for premium buyers. It delivers reliable performance at an accessible price.

Key Specifications

  • Processor Type: 6-core Carmel ARM®v8.2 — smooth, lag-free performance
  • GPU: NVIDIA Volta architecture with 384 NVIDIA CUDA® cores and 48 Tensor cores
  • Max GPU Frequency(MHz): 1100 — smooth, flicker-free operation
  • CPU: 6-core NVIDIA Carmel ARM®v8.2 64-bit CPU 6 MB L2 + 4 MB L3 — smooth, lag-free performance
  • Max CPU Frequency(MHz): 1900 — smooth, lag-free performance
  • Storage Capacity: 16 GB eMMC 5.1 — plenty of room for files, apps, and media
  • Video encoder: 2x 4K @ 30, 6x 1080p @ 60, 14x 1080p @ 30 (H.265/H.264)
  • Video decoder: 2x 4K @ 60, 4x 4K @ 30, 12x 1080p @ 60, 32x 1080p @ 30 (H.265) 2x 4K @ 30, 6x 1080p @ 60, 16x 1080p @ 30 (H.264)

Why Buy from Pricio?

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This is a new NVIDIA Jetson Xavier NX Module, Which takes supercomputer performance to the edge in a compact system-on-module (SOM) that’s smaller than a credit card. It features new cloud-native support and accelerates the NVIDIA software stack with more than 10X the performance of its widely adopted predecessor, Jetson TX2.

This power-efficiency enables accurate, multi-modal AI inference in a small form factor and opens the door for innovative edge devices in manufacturing, logistics, retail, service, agriculture, smart city, healthcare, and life sciences, and more.

The Jetson Xavier NX module benefits from new cloud-native support across the entire Jetson platform lineup, making it easier to build, deploy, and manage AI at the edge. Pre-trained AI models from NVIDIA NGC, together with the NVIDIA Transfer Learning Toolkit, provide a faster path to inference with optimized AI networks, while containerized deployment to Jetson devices allows flexible and seamless updates.

Ease of development and speed of deployment together with a unique combination of form-factor, performance, and power advantage make Jetson Xavier NX the most flexible and scalable platform to get to market and continuously update over the lifetime of a product.


Features:

  1. Compact size SoM powerful enough for advanced AI applications with low power consumption
  2. Supports entire NVIDIA Software Stack for application development and optimization
  3. More than 10X the performance of Jetson TX2
  4. Enables development of AI applications using NVIDIA JetPack™ SDK
  5. Easy to build, deploy, and manage AI at the edge
  6. Flexible and scalable platform to get to market with reduced development costs
  7. Continuous updates over the lifetime of the product

Package Includes:

1 x NVIDIA Jetson Xavier NX Module

Setup Guide

1
Identify the pins
Locate VCC (power), GND (ground), and data pins (SDA/SCL for I2C, MOSI/MISO for SPI, or TX/RX for UART). Refer to the pinout diagram on the product page.
2
Wire to your microcontroller
Connect VCC to 3.3V or 5V (check the module spec), GND to GND, and data pins to the appropriate GPIO pins on your Arduino or Raspberry Pi.
3
Install libraries
In Arduino IDE, go to Sketch → Include Library → Manage Libraries and search for the sensor library. Install the recommended version.
4
Upload example sketch
Open File → Examples → [library name] → Basic Example. Upload to your board and open Serial Monitor to view output.
5
Calibrate if needed
Some sensors (temperature, humidity, distance) may need a short warm-up period or calibration. Run the calibration sketch if provided.