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Nvidia Jetson Orin NX 16GB Module
Original price was: ₹169,999.00.₹125,999.00Current price is: ₹125,999.00.
The NVIDIA Jetson Orin NX 16GB Module is a powerful embedded AI System-on-Module delivering up to 157 AI TOPS. Featuring an 8-core Arm Cortex-A78AE CPU, 1024 CUDA Cores, 32 Tensor Cores, 16GB LPDDR5 memory, and support for JetPack SDK, CUDA, TensorRT, DeepStream, and Isaac ROS, it is ideal for robotics, industrial automation, machine vision, autonomous systems, and edge AI applications.
Available on backorder
Nvidia Jetson Orin NX 16GB Module
Features
- Delivers up to 157 AI TOPS for advanced AI workloads.
- 1024 CUDA Cores and 32 Tensor Cores based on NVIDIA Ampere architecture.
- 8-Core Arm Cortex-A78AE CPU running up to 2.0 GHz.
- 16GB LPDDR5 unified memory with 102 GB/s bandwidth.
- Compact 69.6 × 45 mm SO-DIMM module for embedded systems.
- Supports configurable 10W, 15W, 25W, and 40W (MAXN SUPER) power modes.
- Compatible with Jetson Orin Nano carrier boards and custom embedded designs.
- Supports JetPack SDK, CUDA, TensorRT, cuDNN, DeepStream, Isaac ROS, PyTorch, and TensorFlow.
- Designed for industrial, robotics, machine vision, autonomous systems, and edge AI deployments.
Specifications
| Product Name | NVIDIA Jetson Orin NX 16GB Module |
| Brand | NVIDIA |
| Product Type | Embedded AI System-on-Module (SoM) |
| GPU Architecture | NVIDIA Ampere |
| GPU | 1024 NVIDIA CUDA Cores |
| Tensor Cores | 32 Tensor Cores |
| CPU | 8-Core Arm Cortex-A78AE (64-bit) |
| CPU Frequency | Up to 2.0 GHz |
| AI Performance | Up to 157 TOPS (Sparse INT8 MAXN SUPER) / 78 TOPS (Dense INT8) |
| GPU Clock | Up to 1173 MHz (MAXN SUPER) |
| FP32 Performance | Up to 2.40 TFLOPS |
| FP16 Performance | Up to 4.80 TFLOPS |
| Memory | 16GB LPDDR5 |
| Memory Bandwidth | 102 GB/s |
| Storage | External NVMe SSD or eMMC (Carrier Board Dependent) |
| PCIe | Up to 8 PCIe Gen4 Lanes |
| USB | Up to USB 3.2 Gen2 (10 Gbps) |
| Camera Support | Up to 16 MIPI CSI-2 Lanes (Carrier Board Dependent) |
| Display Support | DisplayPort / HDMI (Carrier Board Dependent) |
| Networking | Gigabit Ethernet / Wi-Fi (Carrier Board Dependent) |
| Power Modes | 10W, 15W, 25W, 40W (MAXN SUPER) |
| Module Size | 69.6 × 45 mm (260-pin SO-DIMM) |
| Operating System | NVIDIA JetPack SDK (Ubuntu Linux) |
| AI Frameworks | CUDA, TensorRT, cuDNN, DeepStream, Isaac ROS, OpenCV, PyTorch, TensorFlow |
| Target Applications | Robotics, Autonomous Machines, Industrial Automation, Smart Cameras, Edge AI, Generative AI |
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