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.
With the NVIDIA Jetson AGX Xavier developer kit, you can easily create end-to-end AI robotics applications for manufacturing, delivery, retail, smart cities, and more. The developer kit is supported by NVIDIA JetPack™ and DeepStream SDKs, as well as CUDA®, cuDNN, and TensorRT™ software libraries, giving you all the tools you need to get started right away. And because it’s powered by the NVIDIA Xavier processor, you now have more than 20X the performance and 10X the energy efficiency of its predecessor, NVIDIA Jetson TX2. Get started today with the Jetson AGX Xavier Developer Kit.
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 | 512-core NVIDIA Volta™ GPU with 64 Tensor cores |
| CPU | 8-core ARM® v8.2 64-bit CPU, 8MB L2 + 4MB L3 |
| DL Accelerator | 2x NVDLA |
| Vision Accelerator | 2x 7-Way VLIW Vision Processor |
| Memory | 32GB 256-bit LPDDR4x | 137GB/s |
| Storage | 32GB eMMC 5.1 |
| CSI Camera | 16 lanes MIPI CSI-2 |
| PCIe | x16 connector with x8 PCIe Gen4 or x8 SLVS-EC |
| Networking | RJ45 (Gigabit Ethernet) |
| Display | HDMI 2.0 Type A 2x DisplayPort via USB-C |
| USB | 2x USB-C 3.1 (supporting DIsplayPort and USB PD) Micro-USB 2.0 (serial port interface only) |
| Others | M.2 Key M (NVMe) M.2 Key E (PCIe x1 + USB 2.0 + UART (for Wi-Fi/LTE) / I2S + DMIC + GPIOs) 40-pin header (UART, SPI, CAN, I2C, I2S, DMIC, GPIOs) MicroSD / UFS card slot eSATAp (eSATA | USB 3.0 Type-A) 10-pin audio header 8-pin automation header (system power and related signals) 4-pin fan header |
| Power | DC power jack |
| Mechanical | 105mm x 105mm x 65mm |