NVIDIA IGX Orin Industrial Edge AI Platform – Orin SoC, 64GB LPDDR5, M.2 NVMe Storage

The NVIDIA IGX Orin Industrial Edge AI Platform is a compact and powerful industrial edge computing solution designed to bring AI processing closer to where data is generated. It is built for applications requiring real-time AI inference, computer vision, robotics, autonomous machines, and industrial automation.

Powered by an NVIDIA Orin System-on-Chip (SoC), the IGX Orin provides accelerated AI computing in a compact form factor. This allows organizations to process data locally at the edge instead of relying entirely on centralized cloud or data center infrastructure.

With support for up to 64GB LPDDR5 memory, the platform can handle demanding AI models, computer vision workloads, sensor data, and real-time inference applications. M.2 NVMe storage provides fast local storage for operating systems, applications, datasets, and AI models.

The platform is particularly suitable for industrial environments, robotics, smart manufacturing, autonomous systems, medical technology, and edge AI deployments where low latency and local processing are important.

Key Specifications

• Product: NVIDIA IGX Orin Industrial Edge AI Platform
• System Type: Compact Industrial Edge AI System
• Processor: NVIDIA Orin SoC
• Memory: Up to 64GB LPDDR5 RAM
• Storage: M.2 NVMe Storage
• Primary Applications: Industrial AI, Robotics, Computer Vision and Edge Computing
• AI Workloads: Real-Time AI Inference, Machine Learning and Vision Processing
• Deployment: Industrial Automation, Smart Manufacturing, Robotics and Autonomous Systems

Key Benefits

• Compact industrial AI computing platform
• NVIDIA Orin SoC for accelerated edge AI
• Up to 64GB LPDDR5 memory
• High-speed M.2 NVMe storage
• Designed for real-time AI inference
• Suitable for computer vision applications
• Ideal for robotics and autonomous machines
• Enables local processing with reduced latency
• Suitable for industrial automation and smart manufacturing
• Designed for demanding edge AI workloads