- Product id: 3970
- Stock: In Stock
- Brand: NVIDIA
- Model: 8F3E1
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Key Features
- GPU: NVIDIA Ampere/Volta GPU
- CPU: Up to 12-core Arm Cortex-A78AE v8.2 64-bit
- Memory: 64 GB LPDDR5
- Storage: 256 GB eMMC
- Networking: Multiple Gigabit Ethernet / 10GbE
| Specification | Details |
|---|---|
| Product Name | NVIDIA Jetson AGX Xavier / AGX Orin 64G Embedded Computer |
| Model | 8F3E1 |
| Module | NVIDIA Jetson AGX Xavier Industrial or AGX Orin 64G SoM |
| AI Performance | Up to 200 TOPS (depending on module) |
| GPU | NVIDIA Ampere/Volta GPU with up to 2048 CUDA cores and 64 Tensor Cores |
| CPU | Up to 12-core Arm Cortex-A78AE v8.2 64-bit |
| Memory | 64 GB LPDDR5 |
| Storage | 256 GB eMMC, expandable via NVMe SSD |
| Networking | Multiple Gigabit Ethernet / 10GbE (optional) |
| USB Ports | USB 3.2 and USB 2.0 |
| Camera Interface | Multiple MIPI CSI-2 lanes |
| Display Output | HDMI 2.1, DisplayPort 1.4, eDP |
| Expansion Slots | PCIe Gen4, M.2 |
| I/O Interfaces | GPIO, UART, SPI, I2C, CAN, PWM, Audio |
| Chassis | Rugged industrial embedded form factor |
| Cooling | Active industrial-grade cooling |
| Power Supply | 12–24V DC input with redundancy support |
| Operating System | Linux (NVIDIA JetPack SDK) |
| Applications | Edge AI, robotics, industrial automation, autonomous machines |
Product Description:
The NVIDIA Jetson AGX Xavier / AGX Orin 64G Embedded Computer (8F3E1) is a cutting-edge edge AI platform designed for enterprise and industrial applications that require extreme AI performance and reliability. This system supports both the AGX Xavier Industrial module and the AGX Orin 64G module, delivering up to 200 TOPS of AI processing power, ideal for autonomous machines, robotics, industrial automation, and large-scale AI workloads at the edge.
Equipped with a high-performance CPU/GPU architecture — up to a 12-core Arm Cortex-A78AE CPU and a NVIDIA Ampere/Volta GPU with up to 2048 CUDA cores and 64 Tensor Cores — it handles complex deep learning inference and real-time computer vision tasks efficiently. The system includes 64 GB LPDDR5 memory and 256 GB eMMC storage, expandable via NVMe, ensuring fast data access and handling large AI models.
The rugged embedded chassis supports industrial-grade active cooling, multiple connectivity options including Ethernet, USB, PCIe, and MIPI CSI-2 camera interfaces, and extensive I/O such as GPIO, CAN, UART, SPI, I2C, and PWM, making it versatile for a variety of industrial deployments. Running NVIDIA JetPack SDK, the system provides access to CUDA, TensorRT, cuDNN, and other AI frameworks, enabling developers to rapidly prototype and deploy high-performance AI applications at the edge.
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