Currently Empty: ₹0.00
NVIDIA Jetson AGX Orin Industrial Module
Original price was: ₹499,999.00.₹387,999.00Current price is: ₹387,999.00.
The NVIDIA Jetson AGX Orin Industrial Module is a rugged industrial AI System-on-Module delivering up to 248 TOPS of AI performance. It features a 2048-core NVIDIA Ampere GPU, 64 Tensor Cores, 12-core Arm Cortex-A78AE CPU, 64GB LPDDR5 memory with Inline ECC, 64GB eMMC storage, and support for JetPack SDK, CUDA, TensorRT, DeepStream, and Isaac ROS. Built for extreme environments with an operating range of -40°C to +85°C and a 10-year lifecycle, it is ideal for robotics, industrial automation, autonomous machines, medical AI, transportation, and mission-critical edge AI applications.
Available on backorder
NVIDIA Jetson AGX Orin Industrial Module
Features
- Delivers up to 248 AI TOPS for industrial AI applications.
- 2048 NVIDIA CUDA Cores with 64 Tensor Cores based on NVIDIA Ampere architecture.
- 12-Core Arm Cortex-A78AE CPU running up to 2.2 GHz.
- 64GB LPDDR5 with Inline ECC for maximum reliability.
- 204.8 GB/s memory bandwidth.
- 64GB eMMC 5.1 onboard storage.
- Supports 10 Gigabit Ethernet, PCIe Gen4, USB 3.2, and multiple industrial interfaces.
- Extended operating temperature from -40°C to +85°C.
- Industrial underfill and corner bonding for harsh environments.
- 10-year product lifecycle for long-term industrial deployments.
- Compatible with JetPack SDK, CUDA, TensorRT, DeepStream, Isaac ROS, Holoscan, TensorFlow, and PyTorch.
Specifications
| Product Name | NVIDIA Jetson AGX Orin Industrial Module |
| Brand | NVIDIA |
| Product Type | Industrial Embedded AI System-on-Module (SoM) |
| GPU Architecture | NVIDIA Ampere |
| GPU | 2048 NVIDIA CUDA Cores |
| Tensor Cores | 64 Tensor Cores |
| CPU | 12-Core Arm Cortex-A78AE (64-bit) |
| CPU Frequency | Up to 2.2 GHz |
| AI Performance | Up to 248 TOPS (INT8 Sparse) |
| Deep Learning Accelerator | 2 × NVDLA v2 |
| Vision Accelerator | 1 × Programmable Vision Accelerator (PVA v2) |
| Functional Safety | Dual Cortex-R52 Safety Cluster Engine |
| Memory | 64GB LPDDR5 with Inline ECC |
| Memory Bandwidth | 204.8 GB/s |
| Onboard Storage | 64GB eMMC 5.1 |
| PCIe | PCIe Gen4 (2 × x8, 1 × x4, 2 × x1) |
| USB | Up to 10 Gbps USB 3.2 |
| 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 | 10 Gigabit Ethernet (Carrier Board Dependent) |
| Other Interfaces | UART, SPI, I²C, I²S, CAN FD, GPIO |
| Video Encode | Up to 2 × 4K60, 4 × 4K30, 8 × 1080p60 (H.265/H.264/AV1) |
| Video Decode | Up to 1 × 8K30, 3 × 4K60, 7 × 4K30 (H.265/H.264/AV1/VP9) |
| Power Modes | 15W, 30W, 40W, 50W, 60W, 75W |
| Module Size | 100 × 87 mm |
| Connector | 699-pin Molex Mirror Mezz Connector |
| Operating Temperature | -40°C to +85°C |
| Operating Lifetime | 10 Years |
| Shock Rating | 50G Operational / 140G Non-Operational |
| Vibration Rating | 5G RMS Operational |
| Memory Protection | Inline ECC + Industrial Underfill & Corner Bonding |
| Operating System | NVIDIA JetPack SDK (Ubuntu Linux) |
| AI Frameworks | CUDA, TensorRT, cuDNN, DeepStream, Isaac ROS, Holoscan, OpenCV, PyTorch, TensorFlow |
Related Products
