• For NVIDIA Jetson Xavier NX Module Small AI Supercomputer For Edge Computing with 16GB EMMC
  • For NVIDIA Jetson Xavier NX Module Small AI Supercomputer For Edge Computing with 16GB EMMC
  • For NVIDIA Jetson Xavier NX Module Small AI Supercomputer For Edge Computing with 16GB EMMC
  • For NVIDIA Jetson Xavier NX Module Small AI Supercomputer For Edge Computing with 16GB EMMC
  • For NVIDIA Jetson Xavier NX Module Small AI Supercomputer For Edge Computing with 16GB EMMC
  • For NVIDIA Jetson Xavier NX Module Small AI Supercomputer For Edge Computing with 16GB EMMC
  • For NVIDIA Jetson Xavier NX Module Small AI Supercomputer For Edge Computing with 16GB EMMC

For NVIDIA Jetson Xavier NX Module Small AI Supercomputer For Edge Computing with 16GB EMMC

Availability: In stock, usually dispatched in 1 business day

  • Price:$718.75
  • Price in reward points: 7188 Reward Points: 72
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For NVIDIA Jetson Xavier NX Module Small AI Supercomputer For Edge Computing with 16GB EMMC

Description:

It brings supercomputer performance to the edge in a small form factor system-on-module (SOM). Up to 21 TOPS of accelerated computing delivers the horsepower to run modern neural networks in parallel and process data from multiple high-resolution sensors—a requirement for full AI systems. It is production-ready and supports all popular AI frameworks.

Advantages:
- Integrates 16 GB eMMC storage
- Industrial grade, more stable
- Suitable for Jetson Nano Developer Kit B01 base board

Features:
SIZE: FOR XAVIER PERFORMANCE. NANO SIZE.
At 70 mm x 45 mm, it packs the power of SoC for NVIDIA Xavier into a module the size for a Jetson Nano. This compact module combines exceptional performance and power advantage with a rich set of IOs—from high-speed CSI and PCIe to low-speed I2Cs and GPIOs. Take advantage of the small form factor, sensor-rich interfaces, and big performance to bring new capability to all your embedded AI and edge systems.

PERFORMANCE: POWERFUL 21 TOPS AI PERFORMANCE

It delivers up to 21 TOPS, making it ideal for high-performance compute and AI in embedded and edge systems. You get the performance of that for 384 NVIDIA CUDA Cores, 48 Tensor Cores, 6 Carmel ARM CPUs, and two NVIDIA Deep Learning Accelerators (for NVDLA) engines. Combined with over 51GB/s of memory bandwidth, video encoded, and decode, these features make it the platform of choice to run multiple modern neural networks in parallel and process high-resolution data from multiple sensors simultaneously.

POWER: INCREDIBLE POWER EFFICIENCY
It supports multiple power modes, including low-power modes for battery-operated systems, and delivers up to 14 TOPs for AI applications in as little as 10 W. This leaves more of your power budget for sensors and peripherals, while still letting you use the entire software stack for NVIDIA. You now have the performance to run all modern AI networks and frameworks with accelerated libraries for deep learning, computer vision, computer graphics, multimedia, and more.

Ideal for critical embedded applications
It is perfect for high-performance AI systems like commercial robots, medical instruments, smart cameras, high-resolution sensors, automated optical inspection, smart factories, and other AIoT embedded systems.

Specifications:


Package Included:
- 1 x Set of Module

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