| Specification | Details |
|---|
| Product Name | NVIDIA Xavier IPC Industrial Embedded Computer |
| Model | 8F2E1 |
| Jetson Module | NVIDIA Jetson AGX Xavier Industrial |
| AI Performance | Up to 32 TOPS |
| GPU | 512-core NVIDIA Volta GPU with 64 Tensor Cores |
| CPU | 8-core NVIDIA Carmel ARM v8.2 64-bit |
| Memory | 32 GB LPDDR4x |
| Storage | 64 GB eMMC onboard, expandable via NVMe SSD |
| Networking | Multiple Gigabit Ethernet ports |
| USB Ports | USB 3.1 and USB 2.0 |
| Display Output | HDMI, DisplayPort |
| Camera Interface | MIPI CSI-2 |
| Expansion Slots | PCIe, M.2 |
| I/O Interfaces | GPIO, UART, SPI, I2C, CAN |
| Chassis Type | Industrial-grade rugged embedded computer |
| Cooling | Industrial active cooling |
| Power Supply | 12–24V DC input |
| Operating System | Linux (NVIDIA JetPack SDK) |
| Applications | Industrial automation, robotics, edge AI, autonomous systems |
Product Description:
The NVIDIA Xavier IPC Industrial Embedded Computer (8F2E1) is a high-performance, industrial-grade edge AI platform designed for demanding automation, robotics, and intelligent industrial applications. Powered by the Jetson AGX Xavier Industrial module, it delivers up to 32 TOPS of AI processing power, enabling real-time AI inference, deep learning, and computer vision at the edge.
Equipped with a 512-core Volta GPU with 64 Tensor Cores and an 8-core NVIDIA Carmel ARM CPU, the Xavier IPC ensures exceptional parallel processing and compute performance. With 32 GB LPDDR4x memory and 64 GB eMMC storage, expandable via NVMe SSD, the system can efficiently handle large AI workloads and datasets.
The rugged embedded chassis provides industrial-grade cooling and reliable operation in harsh environments. Connectivity options include Gigabit Ethernet, USB, PCIe, M.2, and MIPI CSI-2 camera interfaces, along with GPIO, UART, SPI, I2C, and CAN for hardware integration. HDMI and DisplayPort outputs support high-resolution monitoring and visualization.
Running NVIDIA JetPack SDK, the system supports Linux-based development with access to CUDA, TensorRT, and cuDNN, making it ideal for deploying AI-powered industrial automation, autonomous robotics, surveillance, and other edge computing solutions that demand reliability, performance, and scalability.