# NVIDIA Jetson AGX Orin 64GB

> system-on-a-chip with computing and graphics processors

**Wikidata**: [Q130219766](https://www.wikidata.org/wiki/Q130219766)  
**Source**: https://4ort.xyz/entity/nvidia-jetson-agx-orin-64gb

## Summary
The NVIDIA Jetson AGX Orin 64GB is a high-performance system-on-a-chip (SoC) designed for autonomous machines and AI applications, featuring 12 ARM Cortex-A78 CPU cores and an Ampere-based GPU. Developed by NVIDIA, it integrates computing, graphics, and deep learning capabilities into a single chip, optimized for power efficiency and edge AI deployment.

## Key Facts
- **Developer**: NVIDIA, as listed on the official product page (2024-09-02).  
- **Processors**: 12 ARM Cortex-A78 CPU cores (2.2 GHz) and an Ampere-architecture GPU with 2048 CUDA cores (1.3 GHz).  
- **Memory**: 64GB of LPDDR5 memory.  
- **Thermal Design Power (TDP)**: 60 watts.  
- **Classification**: Instance of "product model" and subclass of "system on a chip" (SoC).  
- **Integrated Components**: Includes 2 NVDLA engines (1.6 GHz) for deep learning acceleration.  

## FAQs
### Q: What is the NVIDIA Jetson AGX Orin 64GB used for?
A: It is designed for AI-driven applications in autonomous machines, robotics, and edge computing, providing high-performance computing and graphics processing in a power-efficient form factor.

### Q: How much memory does the Jetson AGX Orin 64GB have?
A: It features 64GB of LPDDR5 memory, enabling large-scale AI workloads and multitasking.

### Q: What GPU architecture does it use?
A: The integrated GPU is based on NVIDIA’s Ampere architecture, supporting 2048 CUDA cores for accelerated graphics and AI processing.

## Why It Matters
The NVIDIA Jetson AGX Orin 64GB represents a significant advancement in embedded AI computing, offering enterprise-level performance in a compact, energy-efficient package. Its combination of multi-core CPUs, high-end GPUs, and dedicated deep learning accelerators makes it ideal for deploying complex AI models at the edge, such as in autonomous vehicles, drones, and smart robotics. By consolidating immense computational power into a single chip, it reduces latency and bandwidth demands, enabling real-time decision-making in resource-constrained environments. This bridges the gap between high-performance data center AI and deployable edge systems, accelerating innovation in industries reliant on intelligent, autonomous machines.

## Notable For
- **64GB LPDDR5 Memory**: High-capacity memory for demanding AI applications, surpassing many edge computing devices.  
- **Ampere GPU Architecture**: Leverages NVIDIA’s advanced GPU design for accelerated AI inference and graphics rendering.  
- **12-Core ARM CPU**: Combines high-performance processing with power efficiency for multitasking workloads.  
- **Integrated NVDLA Engines**: Dedicated hardware for deep learning acceleration, optimizing performance-per-watt.  

## Body
### Overview
The NVIDIA Jetson AGX Orin 64GB is a system-on-a-chip (SoC) engineered for AI and autonomous systems, integrating computing, graphics, and deep learning capabilities. Released by NVIDIA, it belongs to the Jetson Orin series, succeeding earlier models like the Jetson Xavier.

### Technical Specifications
- **CPU**: 12 ARM Cortex-A78 cores operating at 2.2 GHz, delivering high-performance processing for AI and general compute tasks.  
- **GPU**: Ampere-architecture GPU with 2048 CUDA cores at 1.3 GHz, supporting graphics rendering, AI acceleration, and parallel computing.  
- **Memory**: 64GB LPDDR5, ensuring ample bandwidth for data-intensive applications.  
- **Deep Learning Acceleration**: 2 NVDLA engines at 1.6 GHz, optimized for low-latency neural network inference.  
- **Power Efficiency**: 60W TDP, balancing performance with thermal management for deployment in confined or fanless environments.  

### Development and Ecosystem
- **Software Support**: Compatible with NVIDIA’s AI software stack, including JetPack SDK and CUDA toolkit, streamlining AI model deployment.  
- **Target Applications**: Robotics, autonomous vehicles, medical imaging, and industrial automation, where real-time AI processing is critical.  

### Form Factor and Integration
- **System-on-a-Chip Design**: Consolidates CPUs, GPUs, memory, and I/O into a single module, reducing component complexity and improving reliability.  
- **Scalability**: Part of the modular Jetson ecosystem, enabling flexible deployment across various edge computing use cases.

## References

1. [Source](https://www.nvidia.com/en-us/autonomous-machines/embedded-systems/jetson-orin/)