NVIDIA® Jetson AGX Xavier™ sets a new bar for compute density, energy efficiency, and AI inferencing capabilities on edge devices. It’s the next evolution in next-generation intelligent machines with end-to-end autonomous capabilities.
The Jetson AGX Xavier module makes AI-powered autonomous machines possible, running in as little as 10W and delivering up to 32 TOPs. As part of the world’s leading AI computing platform, it benefits from NVIDIA’s rich set of AI tools and workflows, enabling developers to quickly train and deploy neural networks.
Features
Size
A BREAKTHROUGH IN EMBEDDED APPLICATIONS
At just 100 x 87 mm, Jetson AGX Xavier offers big workstation performance at 1/10 the size of a workstation. This makes it ideal for autonomous machines like delivery and logistics robots, factory systems, and large industrial UAVs.
Performance
TAKING PERFORMANCE TO THE EDGE
As the world’s first computer designed specifically for autonomous machines, Jetson AGX Xavier has the performance to handle visual odometry, sensor fusion, localization and mapping, obstacle detection, and path-planning algorithms that are critical to next-generation robots. Get GPU workstation-class performance with up to 32 TOPS of peak compute and 750 Gbps of high-speed I/O in a compact form factor.
Power
THE POWER OF FLEXIBILITY
The Jetson AGX Xavier series provides the highest level of performance for autonomous machines in a power-efficient system. Jetson AGX Xavier ships with configurable power profiles preset for 10W, 15W, and 30W, and Jetson AGX Xavier Industrial ships with profiles preset for 20W and 40W. These power profiles are switchable at runtime and can be customized to your specific application needs.
A JETSON AGX XAVIER FOR ANY APPLICATION
The Jetson AGX Xavier series of modules deliver up to 32 TOPS of AI performance, and NVIDIA’s rich set of AI tools and workflows lets developers train and deploy neural networks quickly.
Specifications
| GPU | NVIDIA Volta architecture with 512 NVIDIA CUDA cores and 64 Tensor cores 22 TOPS (INT8) |
| CPU | 8-core NVIDIA Carmel Armv8.2 64-bit CPU 8MB L2 + 4MB L3 |
| DL Accelerator | 2x NVDLA 10 TOPS (INT8) |
| Vision Accelerator | 2x 7-Way VLIW Vision Processor |
| Memory | 32GB 256-bit LPDDR4x 136.5GB/s |
| Storage | 32 GB eMMC 5.1 |
| CSI Camera | Up to 6 cameras (36 via virtual channels) 16 lanes MIPI CSI-2, 8 lanes SLVS-EC D-PHY 1.2 (up to 40Gbps) C-PHY 1.1 (up to 62Gbps) |
| Video Encode | 4x 4K60 (H.265) 8x 4K30 (H.265) 16x 1080p60 (H.265) 32x 1080p30 (H.265) 30x1080p30 (H.264) |
| Video Decode | 2x 8K30 (H.265) 6x 4K60 (H.265) 12x 4K30 (H.265) 26x 1080p60 (H.265) 52x 1080p30 (H.265) 30x 1080p30 (H.264) |
| UPHY | 8x PCIe Gen4 | 8x SLVS-EC 3x USB 3.1 Single Lane UFS |
| Networking | 10/100/1000 BASE-T Ethernet |
| Display | Three multi-mode DP 1.2a/e DP 1.4/HDMI 2.0 a/b |
| Other I/O | USB 2.0 UART, SPI, CAN, I2C, I2S, DMIC & DSPK, GPIOs |
| Power | 10W | 15W | 30W |
| Mechanical | 100mm x 87mm 699 pin Molex Mirror Mezz Connector Integrated Thermal Transfer Plate |
