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NVIDIA Jetson AGX Xavier Module
Original price was: ₹299,999.00.₹190,999.00Current price is: ₹190,999.00.
The NVIDIA Jetson AGX Xavier Module is a high-performance embedded AI System-on-Module delivering up to 32 TOPS of AI performance. Featuring a 512-core NVIDIA Volta GPU, 64 Tensor Cores, 8-core NVIDIA Carmel CPU, 32GB LPDDR4x memory, 32GB eMMC, and support for JetPack SDK, CUDA, TensorRT, DeepStream, and Isaac SDK, it is an ideal platform for robotics, industrial automation, machine vision, autonomous systems, and intelligent edge AI applications.
Available on backorder
NVIDIA Jetson AGX Xavier Module
Features
- Up to 32 TOPS AI performance for advanced edge AI applications.
- 512 NVIDIA CUDA Cores with 64 Tensor Cores based on NVIDIA Volta architecture.
- 8-Core NVIDIA Carmel Arm v8.2 CPU running up to 2.26 GHz.
- 32GB LPDDR4x memory with 136.5 GB/s bandwidth.
- 32GB eMMC 5.1 onboard storage.
- Dual NVDLA deep learning accelerators and Dual Programmable Vision Accelerators (PVA).
- Supports up to 6 cameras with 16 MIPI CSI-2 lanes.
- High-speed connectivity through PCIe Gen4, USB 3.1 Gen2, and Gigabit Ethernet.
- Configurable 10W, 15W, and 30W power modes.
- Compatible with JetPack SDK, CUDA, TensorRT, DeepStream, Isaac SDK, OpenCV, TensorFlow, and PyTorch.
Specifications
| Product Name | NVIDIA Jetson AGX Xavier Module |
| Brand | NVIDIA |
| Product Type | Embedded AI System-on-Module (SoM) |
| GPU Architecture | NVIDIA Volta |
| GPU | 512 NVIDIA CUDA Cores |
| Tensor Cores | 64 Tensor Cores |
| CPU | 8-Core NVIDIA Carmel Arm v8.2 64-bit CPU |
| CPU Frequency | Up to 2.26 GHz |
| AI Performance | Up to 32 TOPS (INT8) |
| DL Accelerator | 2× NVDLA Engines (10 TOPS INT8) |
| Vision Accelerator | 2× Programmable Vision Accelerators (PVA) |
| Memory | 32GB 256-bit LPDDR4x |
| Memory Bandwidth | 136.5 GB/s |
| Onboard Storage | 32GB eMMC 5.1 |
| PCIe | 8 × PCIe Gen4 Lanes |
| USB | 3 × USB 3.1 Gen2, USB 2.0 Support |
| Camera Support | Up to 6 Cameras (36 Virtual Channels) |
| Camera Interface | 16 MIPI CSI-2 Lanes, 8 SLVS-EC Lanes |
| Display Support | 3 × DisplayPort 1.2a / eDP 1.4 / HDMI 2.0a/b |
| Networking | 10/100/1000 Gigabit Ethernet (Carrier Board Dependent) |
| Video Encode | Up to 4 × 4K60, 8 × 4K30, 16 × 1080p60, 32 × 1080p30 (H.265) |
| Video Decode | Up to 2 × 8K30, 6 × 4K60, 12 × 4K30, 26 × 1080p60, 52 × 1080p30 (H.265) |
| Other Interfaces | UART, SPI, CAN, I²C, I²S, DMIC, GPIO |
| Power Modes | 10W, 15W, 30W |
| 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 SDK, OpenCV, PyTorch, TensorFlow |
| Target Applications | Robotics, Autonomous Machines, Industrial Automation, Smart Cameras, Medical AI, Edge Computing |
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