900-13767-0030-00 [NVIDIA]

Product Overview

The NVIDIA 900-13767-0030-000 is an NVIDIA Jetson AGX Orin™ 32GB System-on-Module (SoM), a high-performance embedded AI computing module designed for edge AI applications, robotics, autonomous machines, intelligent video analytics, and industrial automation systems. Although NVIDIA does not provide a standalone public product detail page for this exact ordering code, distributor references identify this part number as the Jetson AGX Orin 32GB module.

The Jetson AGX Orin platform integrates NVIDIA Ampere GPU architecture, Arm Cortex-A78AE CPU cores, dedicated AI accelerators, high-speed LPDDR5 memory, and extensive I/O capabilities into a compact production-ready module. The 32GB version provides up to 200 TOPS of AI performance while maintaining a configurable power range suitable for embedded and industrial deployments.

Designed for developers and manufacturers building next-generation intelligent systems, the NVIDIA 900-13767-0030-000 provides compatibility with the NVIDIA JetPack software ecosystem, including CUDA, TensorRT, cuDNN, and OpenCV, enabling rapid development and deployment of AI applications.

Part Number Breakdown

900-13767-0030-000

Key parameters:

Competitive Advantages

Comparison With Alternative Edge AI Computing Solutions

The NVIDIA 900-13767-0030-000 Jetson AGX Orin 32GB module is positioned as a high-performance embedded AI computing solution for robotics, industrial automation, autonomous systems, and intelligent edge applications requiring powerful AI acceleration, flexible connectivity, and production-ready reliability.

Key Features

1. High-Performance Edge AI Computing

The NVIDIA Jetson AGX Orin 32GB module delivers up to 200 TOPS of AI computing performance, enabling real-time AI inference directly on embedded devices.

Advantages:

• Supports advanced deep learning models
• Enables real-time AI decision making
• Reduces cloud processing dependency
• Provides high-performance edge computing capability

Typical applications:

• Autonomous robots
• Smart cameras
• Industrial AI systems
• Intelligent machines

2. NVIDIA Ampere GPU Architecture

The module integrates an NVIDIA Ampere GPU with 1792 CUDA cores and 56 Tensor Cores, providing powerful parallel computing capability for AI and computer vision workloads.

Advantages:

• Accelerates neural network inference
• Supports CUDA-based AI development
• Improves computer vision performance
• Enables complex AI workloads on compact hardware

Typical applications:

• Machine vision
• Object recognition
• AI inspection systems
• Autonomous navigation

3. Integrated AI Accelerators

The Jetson AGX Orin 32GB includes dual NVDLA v2.0 engines and a Vision Accelerator (PVA v2.0) for efficient AI processing.

Advantages:

• Dedicated AI acceleration
• Reduced GPU workload
• Improved energy efficiency
• Supports multiple AI pipelines simultaneously

Typical applications:

• Multi-camera perception systems
• Robotics vision
• Smart surveillance
• Edge analytics

4. 32GB LPDDR5 High-Speed Memory

The module integrates 32GB LPDDR5 memory with a 256-bit memory interface, providing high bandwidth for AI models and real-time data processing.

Advantages:

• Supports complex neural networks
• Handles large data workloads
• Improves AI inference performance
• Reduces external memory requirements

Typical applications:

• AI gateways
• Autonomous systems
• Industrial computers
• Edge servers

5. Flexible Power Configuration

The Jetson AGX Orin 32GB supports configurable power modes from 15W to 60W, allowing system designers to balance performance and thermal requirements.

Advantages:

• Flexible thermal design
• Suitable for different embedded platforms
• Optimizes energy efficiency
• Supports mobile and fixed deployments

Typical applications:

• Mobile robots
• Industrial equipment
• Autonomous vehicles
• Smart devices

6. Rich Connectivity and Expansion Capability

The Jetson AGX Orin platform provides extensive high-speed interfaces for connecting cameras, sensors, storage devices, and communication modules.

Advantages:

• Supports complex embedded architectures
• Enables multi-sensor integration
• Simplifies system development
• Provides production scalability

Typical interfaces:

• PCIe
• USB
• MIPI CSI
• Ethernet
• GPIO

7. NVIDIA JetPack AI Software Ecosystem

The module is supported by NVIDIA JetPack SDK, including CUDA, TensorRT, cuDNN, OpenCV, and AI development frameworks.

Advantages:

• Faster AI application development
• Optimized hardware acceleration
• Large developer ecosystem
• Simplified deployment process

Applications

Robotics

• Autonomous mobile robots (AMR)
• Industrial robots
• Robotic arms
• Service robots
• Navigation systems

Industrial Machine Vision

• Automated optical inspection (AOI)
• Quality control systems
• Defect detection
• Smart manufacturing equipment

Autonomous Machines

• Autonomous vehicles
• Agricultural robots
• Logistics equipment
• Intelligent machinery

Edge AI Computing

• AI inference gateways
• Intelligent edge servers
• Real-time analytics systems
• Smart sensor platforms

Security and Surveillance

• AI cameras
• Video analytics systems
• Multi-camera monitoring platforms

Healthcare and Medical AI

• Medical imaging systems
• Intelligent healthcare equipment
• Diagnostic assistance platforms