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Nvidia Jetson Orin NX 8GB Module
Original price was: ₹110,999.00.₹84,999.00Current price is: ₹84,999.00.
The NVIDIA Jetson Orin NX 8GB Module is a powerful embedded AI System-on-Module delivering up to 117 AI TOPS. Featuring a 6-core Arm Cortex-A78AE CPU, 1024 CUDA Cores, 32 Tensor Cores, 8GB LPDDR5 memory, and support for JetPack SDK, CUDA, TensorRT, DeepStream, and Isaac ROS, it is an ideal solution for robotics, industrial automation, machine vision, autonomous systems, and edge AI deployments.
Available on backorder
Nvidia Jetson Orin NX 8GB Module
Features
- Delivers up to 117 AI TOPS (Sparse INT8) in MAXN SUPER mode.
- 1024 NVIDIA CUDA Cores and 32 Tensor Cores based on NVIDIA Ampere architecture.
- 6-Core Arm Cortex-A78AE processor running up to 2.0 GHz.
- 8GB LPDDR5 memory with 102.4 GB/s bandwidth.
- Compact 69.6 × 45 mm 260-pin SO-DIMM module.
- Supports configurable 10W, 15W, 25W, and 40W (MAXN SUPER) power modes.
- Compatible with NVIDIA Jetson Orin Nano and Orin NX carrier boards.
- Supports JetPack SDK, CUDA, TensorRT, DeepStream, Isaac ROS, PyTorch, and TensorFlow.
- Optimized for high-performance AI inference at the edge.
Specifications
| Product Name | NVIDIA Jetson Orin NX 8GB 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 | 6-Core Arm Cortex-A78AE (64-bit) |
| CPU Frequency | Up to 2.0 GHz |
| AI Performance | Up to 117 TOPS (Sparse INT8 MAXN SUPER) / 58 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 | 8GB LPDDR5 |
| Memory Bandwidth | 102.4 GB/s |
| Memory Interface | 128-bit LPDDR5 |
| 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, Machine Vision, Smart Cameras, Industrial Automation, Edge AI, Generative AI |
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