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NVIDIA Jetson AGX Orin 32GB Module
Original price was: ₹349,999.00.₹228,999.00Current price is: ₹228,999.00.
The NVIDIA Jetson AGX Orin 32GB Module is a powerful embedded AI System-on-Module delivering up to 200 AI TOPS. Equipped with an 8-core Arm Cortex-A78AE CPU, 1792 CUDA Cores, 56 Tensor Cores, 32GB LPDDR5 memory, and 204.8 GB/s memory bandwidth, it supports NVIDIA JetPack SDK, CUDA, TensorRT, DeepStream, and Isaac ROS. It is an ideal platform for robotics, industrial automation, AI video analytics, computer vision, autonomous systems, and advanced edge AI deployments.
Available on backorder
NVIDIA Jetson AGX Orin 32GB Module
Features
- Delivers up to 200 AI TOPS for demanding AI inference workloads.
- 1792 NVIDIA CUDA Cores and 56 Tensor Cores based on NVIDIA Ampere architecture.
- 8-Core Arm Cortex-A78AE processor with frequencies up to 2.2 GHz.
- 32GB LPDDR5 memory with 204.8 GB/s bandwidth.
- 64GB eMMC 5.1 onboard storage.
- Supports up to 6 cameras through 16 MIPI CSI-2 lanes.
- High-speed connectivity with PCIe Gen4, USB 3.2, Gigabit Ethernet, and multiple industrial interfaces.
- Hardware acceleration for 8K video decoding and 4K video encoding.
- Configurable 15W–40W power modes for balancing performance and energy efficiency.
- Fully compatible with JetPack SDK, CUDA, TensorRT, DeepStream, Isaac ROS, PyTorch, and TensorFlow.
Specifications
| Product Name | NVIDIA Jetson AGX Orin 32GB Module |
| Brand | NVIDIA |
| Product Type | Embedded AI System-on-Module (SoM) |
| GPU Architecture | NVIDIA Ampere |
| GPU | 1792 NVIDIA CUDA Cores |
| Tensor Cores | 56 Tensor Cores |
| CPU | 8-Core Arm Cortex-A78AE (64-bit) |
| CPU Frequency | Up to 2.2 GHz |
| AI Performance | Up to 200 TOPS (Sparse INT8) / 100 TOPS (Dense INT8) |
| GPU Frequency | Up to 930 MHz |
| Memory | 32GB 256-bit LPDDR5 |
| Memory Bandwidth | 204.8 GB/s |
| Onboard Storage | 64GB eMMC 5.1 |
| PCIe | Up to PCIe Gen4 (2 × x8, 1 × x4, 2 × x1) |
| USB | 3 × USB 3.2 Gen2 |
| Camera Support | Up to 6 Cameras (16 Virtual Channels) |
| Camera Interface | 16 MIPI CSI-2 Lanes (D-PHY 2.1 / C-PHY 2.0) |
| Display Support | DisplayPort 1.4a / eDP 1.4a / HDMI 2.1 |
| Networking | 1 × Gigabit Ethernet (Carrier Board Dependent) |
| Additional I/O | UART, SPI, I²C, I²S, CAN, GPIO |
| Video Encode | Up to 1 × 4K60, 3 × 4K30, 6 × 1080p60 (H.265/H.264/AV1) |
| Video Decode | Up to 1 × 8K30, 2 × 4K60, 4 × 4K30 (H.265/H.264/VP9/AV1) |
| Power Modes | 15W, 30W, 40W |
| Module Size | 100 × 87 mm |
| Connector | 699-Pin Molex Mirror Mezz Connector |
| Operating System | NVIDIA JetPack SDK (Ubuntu Linux) |
| AI Frameworks | CUDA, TensorRT, cuDNN, DeepStream, Isaac ROS, OpenCV, PyTorch, TensorFlow |
| Target Applications | Robotics, Industrial Automation, AI Video Analytics, Medical AI, Smart Cities, Autonomous Machines, Edge AI |
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