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NVIDIA Jetson AGX Orin 64GB Module
Original price was: ₹449,999.00.₹365,999.00Current price is: ₹365,999.00.
The NVIDIA Jetson AGX Orin 64GB Module is NVIDIA’s highest-performance embedded AI System-on-Module, delivering up to 275 AI TOPS with a 12-core Arm Cortex-A78AE CPU, 2048 CUDA Cores, 64 Tensor Cores, 64GB LPDDR5 memory, and 204.8 GB/s memory bandwidth. Supporting NVIDIA JetPack SDK, CUDA, TensorRT, DeepStream, and Isaac ROS, it is the ideal platform for robotics, autonomous machines, industrial automation, AI video analytics, computer vision, and next-generation edge AI applications.
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NVIDIA Jetson AGX Orin 64GB Module
Features
- Delivers up to 275 AI TOPS for demanding AI workloads.
- 2048 NVIDIA CUDA Cores and 64 Tensor Cores based on NVIDIA Ampere architecture.
- 12-Core Arm Cortex-A78AE CPU with frequencies up to 2.2 GHz.
- 64GB LPDDR5 memory with 204.8 GB/s bandwidth.
- 64GB eMMC 5.1 onboard storage.
- Supports 10Gb Ethernet, PCIe Gen4, USB 3.2, and multiple high-speed interfaces.
- Supports up to 6 cameras (16 virtual channels) with MIPI CSI-2.
- Advanced hardware acceleration for 8K video decode and 4K video encode.
- Configurable 15W–60W power modes for balancing performance and efficiency.
- Compatible with JetPack SDK, CUDA, TensorRT, DeepStream, Isaac ROS, PyTorch, and TensorFlow.
Specifications
| Product Name | NVIDIA Jetson AGX Orin 64GB Module |
| Brand | NVIDIA |
| Product Type | 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 275 TOPS (Sparse INT8) / 138 TOPS (Dense INT8) |
| GPU Frequency | Up to 1.3 GHz |
| Memory | 64GB 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 |
| 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 × 10Gb Ethernet (Carrier Board Dependent) |
| Additional I/O | 4 × USB 2.0, UART, SPI, I²C, I²S, CAN, 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/VP9/AV1) |
| Power Modes | 15W, 30W, 40W, 50W, 60W |
| 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, Autonomous Machines, Industrial Automation, Smart Cities, Medical AI, Edge AI, Generative AI |
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