Description

The Waveshare NVIDIA Jetson Xavier 8G eMMC module is a compact edge AI computing module based on the NVIDIA Jetson Xavier NX platform. Waveshare-22315 provides Xavier-class AI performance in a Nano-sized module form factor for smart cameras, robotics, industrial inspection, AIoT gateways, portable medical devices, and embedded computer vision systems.

This Jetson Xavier NX 8GB eMMC module delivers up to 21 TOPS of AI performance with a 384-core NVIDIA Volta GPU, 48 Tensor Cores, a 6-core NVIDIA Carmel Arm CPU, 8GB LPDDR4x memory, and 16GB eMMC storage. It is designed for high-performance edge AI workloads that need local inference, sensor processing, accelerated multimedia, and reliable embedded storage.

With a 45 mm x 69.6 mm module size and 260-pin SO-DIMM connector, the Waveshare NVIDIA Jetson Xavier 8G eMMC module can be integrated with compatible carrier boards for MIPI CSI cameras, PCIe expansion, display output, USB, Ethernet, GPIO, and other embedded interfaces. It is a strong choice when an edge AI module needs NVIDIA JetPack SDK compatibility and a compact production-oriented eMMC configuration.

Features

• Jetson Xavier NX 8GB module: Waveshare-22315 is the 8GB eMMC module version for compact embedded AI systems.
• Up to 21 TOPS: supports demanding edge AI module workloads such as detection, segmentation, pose estimation, and tracking.
• NVIDIA Volta GPU: 384-core NVIDIA Volta GPU with 48 Tensor Cores for accelerated AI inference.
• 6-core Carmel CPU: NVIDIA Carmel Arm v8.2 64-bit CPU for application logic, control, and embedded computing tasks.
• 8GB LPDDR4x memory: high-bandwidth memory for multi-stream video, sensors, and AI pipelines.
• 16GB eMMC storage: onboard eMMC 5.1 storage for reliable embedded deployment.
• Nano-sized form factor: 45 mm x 69.6 mm module with 260-pin SO-DIMM connector.
• NVIDIA JetPack SDK support: supports Jetson Linux, CUDA, TensorRT, cuDNN, multimedia acceleration, and NVIDIA AI software workflows.

Specifications

Applications

• Smart cameras, AI video analytics, and multi-sensor computer vision systems.
• Robotics, autonomous machines, and compact edge AI module deployments.
• Industrial inspection, automated optical inspection, and quality-control systems.
• AIoT gateways, portable medical devices, smart city systems, and embedded edge computing.
• NVIDIA JetPack SDK development with CUDA, TensorRT, cuDNN, and accelerated multimedia.

Product List

Other Content

Module note: Waveshare-22315 is a Jetson Xavier NX 8GB eMMC module, not a complete developer kit. A compatible carrier board, power system, cooling solution, storage image, cameras, and peripherals may be required for a working development or deployment setup.

eMMC note: This edge AI module uses onboard 16GB eMMC storage. It is different from Micro SD based developer-kit configurations and is better suited for embedded integration where stable onboard storage is preferred.

Software note: Confirm NVIDIA JetPack SDK version, Jetson Linux image, carrier-board compatibility, camera interface, cooling, and power mode before deployment.

Selection note: Choose the Jetson Xavier NX 8GB eMMC module when a compact edge AI module needs up to 21 TOPS performance, 8GB memory, onboard eMMC, and NVIDIA JetPack SDK support.

Resources

• NVIDIA Jetson Xavier NX Overview
• NVIDIA JetPack SDK
• NVIDIA Jetson Linux
• NVIDIA Jetson Download Center
• NVIDIA Jetson Support Resources

FAQ

What is Waveshare-22315?

Waveshare-22315 is the Waveshare NVIDIA Jetson Xavier 8G eMMC module based on the NVIDIA Jetson Xavier NX platform.

Is this a module or a development kit?

It is a module product. A compatible carrier board and supporting hardware are required for development or deployment.

How much AI performance does it provide?

The Jetson Xavier NX 8GB eMMC module provides up to 21 TOPS of AI performance for edge AI module workloads.

Does it include onboard storage?

Yes. This module includes 16GB eMMC 5.1 onboard storage.

Does it support NVIDIA JetPack SDK?

Yes. The module supports NVIDIA JetPack SDK workflows, including Jetson Linux, CUDA, TensorRT, cuDNN, and accelerated multimedia.