Description
With the NVIDIA Jetson AGX Xavier developer kit, you can easily create and deploy end-to-end AI robotics applications for manufacturing, delivery, retail, agriculture, and more.
Supported by NVIDIA JetPack and DeepStream SDKs, as well as CUDA®, cuDNN, and TensorRT software libraries, the kit provides all the tools you need to get started right away. And because it’s powered by the new NVIDIA Xavier processor, you now have more than 20X the performance and 10X the energy efficiency of its predecessor, the NVIDIA Jetson TX2.
Get started today with the Jetson AGX Xavier Developer Kit.
Jetson AGX Xavier Developer Kit : Deploy AI-Powered Autonomous Machines At Scale
As the upgraded successor of NVIDIA Jetson TX2, the NVIDIA Jetson AGX Xavier Developer Kit have more than 20X the performance and 10X the energy efficiency of TX2.
With the NVIDIA Jetson AGX Xavier developer kit, you can easily create and deploy end-to-end AI robotics applications for manufacturing, delivery, retail, smart cities, and more. Supported by NVIDIA JetPack and DeepStream SDKs, as well as CUDA®, cuDNN, and TensorRT software libraries, the kit provides all the tools you need to get started right away.
Jetson AGX Xavier is specially designed for AI-Powered autonomous machines, it consumes as low as 10W by configuration, while delivering up to 32 TOPS of AI performance. Benefit from NVIDIA's rich set of AI tools and workflows, Jetson AGX Xavier enables developers to train and deploy neural networks quickly.
Taking Performance to the Edge
As a powerful AI 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 critical to next-generation robots. Get GPU workstation-class performance with up to an unparalleled 32 TeraOPS (TOPS) of peak compute and 750 Gbps of high-speed I/O in a compact form factor of just 100 x 87 mm.
The Power of Flexibility
Jetson AGX Xavier enables new levels of compute density, power efficiency, and AI inferencing capabilities at the edge. Users can configure operating modes for their applications at 10W, 15W, or 30W.
Technical Specifications
| GPU | 512-core Volta GPU with Tensor Cores 11 TFLOPS (FP16) 22 TOPS (INT8) |
|---|---|
| CPU | 8-core ARM v8.2 64-bit CPU, 8MB L2 + 4MB L3 |
| MEMORY | 32GB 256-Bit LPDDR4x | 137GB/s |
| STORAGE | 32GB eMMC 5.1 |
| DL ACCELERATOR | (2x) NVDLA Engines 5 TFLOPS (FP16), 10 TOPS (INT8) |
| VISION ACCELERATOR | 7-way VLIW Vision Processor |
| ENCODER/DECODER | (2x) 4Kp60 | HEVC/(2x) 4Kp60 | 12-Bit Support |
| SIZE | 105 mm x 105 mm x 65 mm |
| DEPLOYMENT | Module (Jetson AGX Xavier) |
Developer Kit I/Os
| PCIE X16 | x8 PCIe Gen4/x8 SLVS-EC |
|---|---|
| RJ45 | Gigabit Ethernet |
| USB-C | 2x USB 3.1, DP (Optional), PD (Optional) Close-System Debug and Flashing Support on 1 Port |
| CAMERA CONNECTOR | (16x) CSI-2 Lanes |
| M.2 KEY M | NVMe |
| M.2 KEY E | PCIe x1 + USB 2.0 + UART (for Wi-Fi/LTE) / I2S / PCM |
| 40-PIN HEADER | UART + SPI + CAN + I2C + I2S + DMIC + GPIOs |
| HD AUDIO HEADER | High-Definition Audio |
| ESATAP + USB3.0 TYPE A | SATA Through PCIe x1 Bridge (PD + Data for 2.5-inch SATA) + USB 3.0 |
| HDMI TYPE A | HDMI 2.0 |
| USD/UFS CARD SOCKET | SD/UFS |
Comparison Between The NVIDIA Jetson AI Developer Kits
| Jetson Nano Developer Kit | Jetson TX2 Developer Kit |
Jetson Xavier NX Developer Kit |
Jetson AGX Xavier Developer Kit | |
|---|---|---|---|---|
| AI Performance | 0.5 TFLOPS (FP16) | 1.3 TFLOPS (FP16) | 6 TFLOPS (FP16) 21 TOPS (INT8) |
5.5-11 TFLOPS (FP16) 20-32 TOPS (INT8) |
| GPU | 128-core NVIDIA Maxwell™ GPU | 256-core NVIDIA Pascal™ GPU architecture with 256 NVIDIA CUDA cores | NVIDIA Volta architecture with 384 NVIDIA CUDA® cores and 48 Tensor cores | 512-Core Volta GPU with Tensor Cores |
| CPU | Quad-core ARM A57 @ 1.43 GHz | Dual-Core NVIDIA Denver 2 64-Bit CPU Quad-Core ARM® Cortex®-A57 MPCore |
6-core NVIDIA Carmel ARM®v8.2 64-bit CPU 6 MB L2 + 4 MB L3 | 8-Core ARM v8.2 64-Bit CPU, 8 MB L2 + 4 MB L3 |
| Memory | 4 GB 64-bit LPDDR4 25.6 GB/s | 8GB 128-bit LPDDR4 1866 MHz - 59.7 GB/s |
8 GB 128-bit LPDDR4x @ 51.2GB/s | 32 GB 256-Bit LPDDR4x | 137 GB/s |
| Power Consumption | 5-10W | 7.5-15W | 10-15W | 10-30W |
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