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.
Deploy AI-Powered Autonomous Machines at Scale
性交网站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.
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.
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 critical to next-generation robots. Get GPU workstation-class performance with an unparalleled 32 TeraOPS (TOPS) of peak compute and 750 Gbps of high-speed I/O in a compact form factor.
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 with the Jetson AGX Xavier module.
The Jetson AGX Xavier module delivers up to 32 TOPS of AI performance and benefits from NVIDIA’s rich set of AI tools and workflows, enabling developers to train and deploy neural networks quickly.
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. 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.
For detailed information on all Jetson Xavier products, please click here
Developer Kit Technical Specifications | ||
GPU | 512-Core Volta GPU with Tensor Cores | |
CPU | 8-Core ARM v8.2 64-Bit CPU, 8 MB L2 + 4 MB L3 | |
Memory | 32 GB 256-Bit LPDDR4x | 137 GB/s | |
Storage | 32 GB eMMC 5.1 |
Developer Kit I/Os | Jetson AGX Xavier Module Interface | |
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 |
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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 + DMIC + GPIOs | |
40-Pin Headers | UART + SPI + CAN + I2 C + I2 S + DMIC + GPIOs | |
HD Audio Header | High-Definition Audio | |
eSTATp + USB 3.0 Type A | SATA Through PCIe x1 Bridge + USB 3.0 (PD + Data for 2.5-inch SATA) | |
HDMI Type A | HDMI 2.0 | |
μSD/UFS Card Socket | SD/UFS |
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Jetson developer kits are for software development and system prototyping. Learn more here.
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.
Technical Specifications | ||
GPU | NVIDIA Volta? architecture with 512 NVIDIA CUDA cores and 64 Tensor cores 11 TFLOPS (FP16) 22 TOPS (INT8) |
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DL Accelerator | 5 TFLOPS (FP16) 10 TOPS (INT8) |
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CPU | 8-Core Carmel ARM v8.2 64-Bit CPU, 8 MB L2 + 4 MB L3 | |
Memory | 32 GB 256-Bit LPDDR4x 2133 MHz - 136.5 GB/s | |
Display | Three multi-mode DP 1.2a/e DP 1.4/HDMI 2.0 a/b | |
Storage | 32 GB eMMC 5.1 | |
Vision Accelerator | 7-Way VLIW Vision Processor | |
Video Encode | 4x 4K @ 60 (HEVC) 8x 4K @ 30 (HEVC) 16x 1080p @ 60 (HEVC) 32x 1080p @ 30 (HEVC) |
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Video Decode | 2x 8K @ 30 (HEVC) 6x 4K @ 60 (HEVC) 12x 4K @ 30 (HEVC) 26x 1080p @ 60 (HEVC) 52x 1080p @ 30 (HEVC) 30x 1080p @ 30 (H.264) |
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Camera | 16 lanes MIPI CSI-2, 8 lanes SLVS-EC D-PHY (40 Gbps), C-PHY(109 Gbps) |
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UPHY | (8x) PCIe Gen4 / (8x) SLVS-EC (3x) USB 3.1 Single Lane UFS |
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Other | UART, SPI, CAN, I2C, I2S, DMIC, GPIOs | |
Connectivity | Wi-Fi requires external chip | |
10/100/1000 RGMII Gigabit Ethernet |
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Size | 87 mm x 100 mm | |
Mechanical | 699 pin Molex Mirror Mex Connector Integrated Thermal Transfer Plate |
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Jetson AGX Xavier 8GB | Jetson AGX Xavier | |
GPU | 384-Core Volta GPU with 48 Tensor cores 5.5 TFLOPS (FP16) 11.1 TOPS (INT8) |
512-Core Volta GPU with 64 Tensor cores 11 TFLOPS (FP16) 22 TOPS (INT8) |
DL Accelerator | (2x) NVDLA Engines 4.1 TFLOPS (FP16) 8.2 TOPS (INT8) |
(2x) NVDLA Engines 5 TFLOPS (FP16) 10 TOPS (INT8) |
CPU | 6-core Carmel ARM v8.2 64-bit CPU, 8MB L2 + 4MB L3 | 8-core Carmel ARM v8.2 64-Bit CPU, 8MB L2 + 4MB L3 |
Memory | 8GB 256-bit LPDDR4x 1333 MHz - 85.3 GB/s |
16GB 256-bit LPDDR4x 2133 MHz - 136.5 GB/s |
Display | Three multi-mode DP 1.2/eDP 1.4/HDMI 2.0 | |
Storage | 32GB eMMC 5.1 | |
Vision Accelerator | 7-Way VLIW Vision Processor | |
Video Encode | 2x464 MP/sec 2x 4K @ 30 (HEVC) 6x 1080p @ 60 (HEVC) 14x 1080p @ 30 (HEVC) |
2x1000 MP/sec 4x 4K @ 60 (HEVC) 8x 4K @ 30 (HEVC) 16x 1080p @ 60 (HEVC) 32x 1080p @ 30 (HEVC) |
Video Decode | 2x690 MP/sec 2x 4K @ 60 (HEVC) 4x 4K @ 30 (HEVC) 12x 1080p @ 60 (HEVC) 24x 1080p @ 30 (HEVC) 16x 1080p @ 30 (H.264) |
2x1500 MP/sec 2x 8K @ 30 (HEVC) 6x 4K @ 60 (HEVC) 12x 4K @ 30 (HEVC) 26x 1080p @ 60 (HEVC) 52x 1080p @ 30 (HEVC) 30x 1080p @ 30 (H.264) |
Camera | 16 lanes MIPI CSI-2, 8 lanes SLVS-EC D-PHY (40 Gbps) C-PHY (64 Gbps) |
16 lanes MIPI CSI-2, 8 lanes SLVS-EC D-PHY (40 Gbps) C-PHY (109 Gbps) |
UPHY | 3x USB 3.1, 4x USB 2.0 1 x8 or 1 x4 or 1 x2 or 2 x1 PCIe (Gen3) |
3x USB 3.1, 4x USB 2.0 1 x8 or 1 x4 or 1 x2 or 2 x1 PCIe (Gen4) |
Other | UART, SPI, CAN, I2C, I2S, DMIC, GPIOs | |
Connectivity | Wi-Fi requires external chip | |
10/100/1000 RGMII Gigabit Ethernet |
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Size | 100 mm x 87 mm | |
Mechanical | 699 pin Connector Integrated Thermal Transfer Plate |