NVIDIA Jetson Xavier NX 16GB Module

Original price was: ₹219,999.00.Current price is: ₹109,999.00.

The NVIDIA Jetson Xavier NX 16GB Module is a compact embedded AI System-on-Module delivering up to 21 TOPS of AI performance. Equipped with a 384-core NVIDIA Volta GPU, 48 Tensor Cores, 6-core NVIDIA Carmel CPU, 16GB LPDDR4x memory, and 16GB eMMC storage, it supports NVIDIA JetPack SDK, CUDA, TensorRT, DeepStream, and Isaac SDK. It is an ideal platform for robotics, machine vision, industrial automation, AI video analytics, and intelligent edge computing.

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NVIDIA Jetson Xavier NX 16GB Module

Features

  • Delivers up to 21 TOPS AI performance.
  • 384 NVIDIA CUDA Cores with 48 Tensor Cores based on NVIDIA Volta architecture.
  • 6-Core NVIDIA Carmel Arm v8.2 CPU.
  • 16GB LPDDR4x memory with 59.7 GB/s bandwidth.
  • 16GB eMMC 5.1 onboard storage.
  • Supports 2× NVDLA deep learning accelerators and 2× PVA vision accelerators.
  • Supports up to 6 MIPI CSI-2 cameras.
  • High-speed interfaces including PCIe Gen4, USB 3.1, Gigabit Ethernet, and multiple display outputs.
  • Compact 69.6 × 45 mm SO-DIMM module compatible with Xavier NX ecosystem.
  • Supports JetPack SDK, CUDA, TensorRT, DeepStream, Isaac SDK, TensorFlow, and PyTorch.

Specifications

Product Name NVIDIA Jetson Xavier NX 16GB Module
Brand NVIDIA
Product Type Embedded AI System-on-Module (SoM)
GPU Architecture NVIDIA Volta
GPU 384 NVIDIA CUDA Cores
Tensor Cores 48 Tensor Cores
CPU 6-Core NVIDIA Carmel Arm v8.2 64-bit CPU
CPU Frequency Up to 1.9 GHz
AI Performance Up to 21 TOPS (INT8)
DL Accelerator 2× NVDLA Engines
Vision Accelerator 2× Programmable Vision Accelerators (PVA)
Memory 16GB 128-bit LPDDR4x
Memory Bandwidth 59.7 GB/s
Onboard Storage 16GB eMMC 5.1
PCIe 1 × PCIe Gen4 x4 + 1 × PCIe Gen3 x1
USB USB 3.1 Gen2 Support
Camera Support Up to 6 Cameras (24 Virtual Channels)
Camera Interface 14 MIPI CSI-2 Lanes (D-PHY 1.2)
Display Support 2 × DisplayPort 1.4 / eDP 1.4 / HDMI 2.0
Networking 10/100/1000 Gigabit Ethernet (Carrier Board Dependent)
Video Encode Up to 2 × 4K60, 4 × 4K30, 10 × 1080p60, 22 × 1080p30 (H.265/H.264)
Video Decode Up to 2 × 8K30, 6 × 4K60, 12 × 4K30, 22 × 1080p60, 44 × 1080p30 (H.265); H.264 supported
Power Modes 10W, 15W, 20W
Module Size 69.6 × 45 mm (260-pin SO-DIMM)
Operating System NVIDIA JetPack SDK (Ubuntu Linux)
AI Frameworks CUDA, TensorRT, cuDNN, DeepStream, Isaac SDK, OpenCV, PyTorch, TensorFlow
Target Applications Robotics, AI Vision, Smart Cameras, Industrial Automation, Medical Devices, Edge AI, Autonomous Machines