NVIDIA JETSON AGX XAVIER MODULE 16GB
- Order number: NVIDIA JETSON AGX XAVIER MODULE 16GB - 900-82888-0000-000
A new AI milestone for autonomous machines
Server-class performance in the palm of your hand
The NVIDIA Jetson AGX Xavier module delivers up to 32 TOPS of accelerated computing capability in a compact form factor consuming under 30 watts. This gives you more than 20X the performance and 10X the energy efficiency of its predecessor, the NVIDIA Jetson TX2.
This advanced system-on-module is powered by the NVIDIA Xavier SoC and designed specifically for autonomous machines. Heterogeneous accelerated computing architecture delivers advanced edge capabilities. Plus , it comes with integrated memory, storage, power management, and an innovative thermal design to enable faster time to market. Run modern AI workloads and solve problems in areas like manufacturing, logistics, retail, service, agriculture, smart cities, and healthcare.
Jetson AGX Xavier is supported by NVIDIA JetPack, which includes board support package (BSP), Ubuntu Linux OS, NVIDIA CUDA, cuDNN, and TensorRT software libraries for deep learning, computer vision, GPU computing, multimedia processing, and much more. It’s also supported by the NVIDIA DeepStream SDK, which delivers a complete toolkit for real-time situational awareness through intelligent video analytics (IVA) . This helps you boost performance and accelerate software development, while reducing development cost and effort.
Features:
- Module
- 512-Core NVIDIA VoltaTM GPU with Tensor Cores
- (2x) NVDLA Engines
- 8-Core ARM v8.2 64-Bit Carmel CPU
- 16 GB 256-Bit LPDDR4x
- 32 GB eMMC 5.1 Flash Storage
- 7-Way VLIW Vision Accelerator Processor
- Voltage input 5 V, 9 V~20 V
- Module Power: 10 W~30 W
Environment
- Operating temperature: -25 C to 80 C measured on the TTP surface
- Storage temperature: -25 C to 80 C
- Humidity: 95% RH, -10 C to 65 C (non-operational)
- Vibration: 5 G RMS 10 to 500 Hz (random/ sinusoidal)
- Shock: 50 G, half sine 11 ms duration
| Jetson GPU: | 512-Core Volta GPU with Tensor Cores |
| Jetson CPU: | 8-Core ARM v8.2 64-Bit CPU, 8 MB L2 + 4 MB L3 |
| Jetson Encoder/Decoder: | (2x) 4Kp60 | HEVC/(2x) 8Kp30 | 12-Bit Support |
| Jetson DL Accelerator: | (2x) NVDLA Engines |
| Jetson Vision Accelerator: | 7-Way VLIW Vision Processor |
| Jetson Memory: | 16 GB 256-Bit LPDDR4x | 137 GB/s |
| Jetson Display: | HDMI 2.0, eDP1.4, DP HBR3 |
| Jetson CSI: | (16x) CSI-2 Lanes |
| Jetson PCIe: | (8x) PCIe Gen4 / (8x) SLVS-EC (3x) USB 3.1, Single Lane UFS |
| Jetson Data Storage: | 32 GB eMMC 5.1 |
| Jetson Miscellaneous: | UART, SPI, CAN, I2 C, I2 S, DMIC, GPIOs |
| Jetson Size: | 87 mm x 100 mm |
| Jetson Connectivity: | Gigabit Ethernet |
| Jetson Power: | 10 W~30 W |
| Jetson Mechanical: | 699 pin Molex Mirror Mex Connector Integrated Thermal Transfer Plate |
| Jetson GPU: | 512-Core Volta GPU with Tensor Cores |
| Jetson CPU: | 8-Core ARM v8.2 64-Bit CPU, 8 MB L2 + 4 MB L3 |
| Jetson Encoder/Decoder: | (2x) 4Kp60 | HEVC/(2x) 8Kp30 | 12-Bit Support |
| Jetson DL Accelerator: | (2x) NVDLA Engines |
| Jetson Vision Accelerator: | 7-Way VLIW Vision Processor |
| Jetson Memory: | 16 GB 256-Bit LPDDR4x | 137 GB/s |
| Jetson Display: | HDMI 2.0, eDP1.4, DP HBR3 |
| Jetson CSI: | (16x) CSI-2 Lanes |
| Jetson PCIe: | (8x) PCIe Gen4 / (8x) SLVS-EC (3x) USB 3.1, Single Lane UFS |
| Jetson Data Storage: | 32 GB eMMC 5.1 |
| Jetson Miscellaneous: | UART, SPI, CAN, I2 C, I2 S, DMIC, GPIOs |
| Jetson Size: | 87 mm x 100 mm |
| Jetson Connectivity: | Gigabit Ethernet |
| Jetson Power: | 10 W~30 W |
| Jetson Mechanical: | 699 pin Molex Mirror Mex Connector Integrated Thermal Transfer Plate |
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