- Product id: 3977
- Stock: In Stock
- Brand: NVIDIA
- Model: 900-83668-0000-000
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Key Features
- GPU: NVIDIA Volta™ architecture GPU
- CPU: 6‑core NVIDIA Carmel ARM®v8.2 64‑bit CPU
- Memory: 8 GB 128‑bit LPDDR4x
- PCIe: 1× x1 (PCIe Gen3) + 1× x4
| Category | Specification |
|---|---|
| Product Name | NVIDIA Jetson Xavier NX 8GB Module (900‑83668‑0000‑000) |
| AI Performance | Up to 21 TOPS (INT8) (power‑mode dependent) |
| GPU | NVIDIA Volta™ architecture GPU 384 CUDA cores + 48 Tensor cores |
| CPU | 6‑core NVIDIA Carmel ARM®v8.2 64‑bit CPU (6 MB L2 + 4 MB L3) |
| Memory | 8 GB 128‑bit LPDDR4x (high‑speed memory) |
| On‑Module Storage | 16 GB eMMC 5.1 |
| PCIe | 1× x1 (PCIe Gen3) + 1× x4 (PCIe Gen4) |
| Camera Interface | Up to 6 cameras via MIPI CSI‑2 lanes (up to 24 via virtual channels) |
| Video Encode | Up to 2× 4K60, 4× 4K30, 10× 1080p60, 22× 1080p30 |
| Video Decode | Up to 2× 8K30, 6× 4K60, 12× 4K30, 22× 1080p60, 44× 1080p30 |
| Display | Dual multi‑mode DP 1.4 / eDP 1.4 / HDMI 2.0 |
| Connectivity | 10/100/1000BASE‑T Ethernet |
| I/O Interfaces | USB, SDIO, SPI, UART, I2S, I2C, CAN, GPIOs (via carrier board) |
| Power Consumption Options | 10 W / 15 W / 20 W selectable modes |
| Form Factor | 69.6 × 45 mm, 260‑pin SO‑DIMM connector |
| Operating Voltage | 5 V input (through carrier board) |
| Software Support | NVIDIA JetPack SDK, CUDA, TensorRT, DeepStream, and Tensor cores frameworks |
| Typical Applications | AI edge computing, robotics vision, industrial automation, autonomous systems |
Product Description:
The NVIDIA Jetson Xavier NX 8GB Module (900‑83668‑0000‑000) is a high‑performance system‑on‑module that brings powerful AI and embedded computing to edge devices in a credit‑card‑sized form factor. At its core is a 384‑core NVIDIA Volta GPU with 48 Tensor Cores, paired with a six‑core ARM Carmel CPU, enabling up to 21 TOPS of AI inferencing performance while maintaining exceptional power efficiency. This makes the Xavier NX ideal for demanding AI workloads such as real‑time object detection, multi‑sensor fusion, autonomous navigation, and robotic automation.
With 8 GB of LPDDR4x memory and 16 GB of onboard eMMC storage, the module delivers the memory bandwidth and storage needed for complex neural networks and high‑speed data pipelines in embedded and edge systems. Flexible power modes ranging from 10 W to 20 W allow designers to balance performance and energy use depending on application requirements.
The Xavier NX supports advanced multimedia features including multiple simultaneous video encode and decode streams, high‑resolution displays, and extensive camera interfacing via MIPI CSI‑2. Using standard PCIe lanes and a broad set of I/O interfaces exposed through compatible carrier boards, the module integrates easily into custom systems. Supported by NVIDIA’s JetPack SDK — including CUDA, TensorRT, and DeepStream — developers can accelerate AI development and deployment on this versatile edge‑AI platform.
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