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NVIDIA Jetson Orin Nano 8GB Module
Original price was: ₹60,999.00.₹51,999.00Current price is: ₹51,999.00.
The NVIDIA Jetson Orin Nano 8GB Module is a compact AI System-on-Module delivering up to 67 AI TOPS with a 6-core Arm Cortex-A78AE CPU, 1024 CUDA Cores, 32 Tensor Cores, and 8GB LPDDR5 memory. Supporting NVIDIA JetPack SDK, CUDA, TensorRT, DeepStream, and Isaac ROS, it is ideal for robotics, machine vision, industrial automation, smart cameras, drones, and edge AI deployments.
Available on backorder
NVIDIA Jetson Orin Nano 8GB Module
Features
- Delivers up to 67 AI TOPS for AI inference.
- 1024 CUDA Cores and 32 Tensor Cores based on NVIDIA Ampere architecture.
- 6-Core Arm Cortex-A78AE 64-bit CPU.
- 8GB LPDDR5 memory with 102 GB/s bandwidth.
- Compact 69.6 × 45 mm SO-DIMM module.
- Supports 7W, 15W, and 25W configurable power modes.
- Compatible with Jetson Orin NX carrier boards and accessories.
- Supports JetPack SDK, CUDA, TensorRT, DeepStream, Isaac ROS, PyTorch, and TensorFlow.
- Designed for industrial, robotics, AI vision, and autonomous edge applications.
Specifications
| Product Name | NVIDIA Jetson Orin Nano 8GB Module |
| Brand | NVIDIA |
| Product Type | Embedded AI System-on-Module (SoM) |
| GPU Architecture | NVIDIA Ampere |
| GPU | 1024 CUDA Cores |
| Tensor Cores | 32 Tensor Cores |
| CPU | 6-Core Arm Cortex-A78AE (64-bit) |
| CPU Frequency | Up to 1.7 GHz |
| AI Performance | Up to 67 TOPS (Sparse) / 33 TOPS (Dense) |
| Memory | 8GB LPDDR5 |
| Memory Bandwidth | 102 GB/s |
| Storage | External NVMe SSD / microSD (Carrier Board Dependent) |
| PCIe | Up to 7 PCIe Gen3 Lanes |
| USB | Up to 3 × USB 3.2 Gen2 (10Gbps) |
| Camera Support | Up to 8 MIPI CSI-2 Lanes (Carrier Board Dependent) |
| Display Support | DisplayPort / HDMI (Carrier Board Dependent) |
| Networking | Gigabit Ethernet / Wi-Fi (Carrier Board Dependent) |
| Power Modes | 7W, 15W, 25W (Super Mode Supported) |
| 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 |
| Typical Applications | Robotics, Edge AI, Computer Vision, Industrial Automation, Smart Cameras, Drones |
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