Edge Computing Node
Edge AI Hardware

Edge Computing Nodes

Industrial-grade AI edge computing systems powered by NVIDIA Jetson. Deploy powerful AI inference at the edge with compact, rugged, and reliable hardware designed for real-world deployments.

  • Up to 275 TOPS AI performance
  • Industrial-grade reliability
  • Multiple form factors available

Edge AI Power

NVIDIA Jetson Platform

275

Max TOPS

64GB

Max Memory

-40°C

Min Temp

IP67

Protection

Platform Features

Built for Edge AI

NVIDIA Jetson Platform

Full NVIDIA Jetson lineup — Jetson Thor T5000 (Blackwell), AGX Orin, Orin NX and Orin Nano Super — with JetPack, CUDA, TensorRT-LLM, Holoscan, Isaac ROS and DeepStream support.

Industrial-Grade Design

Rugged enclosures, wide temperature operation, and extended product lifecycle.

Rich Connectivity

Multiple USB, Ethernet, serial ports, plus optional WiFi, 4G/5G, and LoRa.

Flexible I/O

Support for GMSL2, MIPI CSI, GPIO, CAN bus, and other industrial interfaces.

Product Portfolio

Edge Computing Node Series

Choose the right performance tier for your edge AI deployment needs.

Jetson Thor T5000

FLAGSHIP

Next-Generation Robotics & Physical AI

Up to 2070 TFLOPS (FP4)

128GB LPDDR5X

NVIDIA's newest flagship edge platform built on Blackwell architecture. Purpose-built for humanoid robots, autonomous machines and generative-AI agents that must reason in real time at the edge.

AI Performance

2070 TFLOPS (FP4) / 1000 TOPS (INT8)

GPU

Blackwell · 2560 CUDA · 96 Tensor Cores

Memory

128GB LPDDR5X · 273 GB/s

Storage / IO

NVMe · 25GbE · 4x USB4 · QSFP

Key Features:

Run multimodal LLMs & VLMs on-device
20x perf vs AGX Orin
Holoscan + Isaac ROS ready
Functional-safety capable

AGX Orin Series

High-Performance Edge AI

Up to 275 TOPS

32GB / 64GB

Mature flagship for production AI: autonomous machines, advanced robotics, AMRs and multi-sensor fusion workloads. Broad ecosystem support and long-term availability.

AI Performance

Up to 275 TOPS

GPU

Ampere · 2048 CUDA Cores · 64 Tensor

Memory

32GB / 64GB LPDDR5

Storage

Up to 1TB NVMe

Key Features:

8x GMSL2 Camera Support
Multiple Ethernet Ports
Wide Temperature Range
Industrial Enclosure

Orin NX Series

Compact Powerhouse

Up to 157 TOPS

8GB / 16GB

Balanced performance and efficiency for mainstream edge AI applications. Perfect for intelligent video analytics, mobile robotics, drones and industrial automation.

AI Performance

Up to 157 TOPS

GPU

Ampere · 1024 CUDA Cores · 32 Tensor

Memory

8GB / 16GB LPDDR5

Storage

Up to 512GB NVMe

Key Features:

4x POE Camera Support
WiFi / 4G / 5G Options
Compact Form Factor
Fanless Design Available

Orin Nano Super Series

Entry-Level Edge AI · Super refresh

Up to 67 TOPS

4GB / 8GB

Re-tuned Orin Nano (the "Super" generation) delivers up to 1.7x the generative-AI performance of the original Nano at the same low price. Ideal for smart cameras, IoT gateways, retail analytics and learning kits.

AI Performance

Up to 67 TOPS (Super)

GPU

Ampere · 1024 CUDA Cores

Memory

4GB / 8GB LPDDR5 · 102 GB/s

Storage

Up to 256GB NVMe

Key Features:

Best perf-per-dollar at the edge
Runs 8B-class LLMs locally
USB-C power
Tiny ~70mm carrier
Form Factors

Deployment Options

Choose the form factor that matches your deployment environment.

Deskside Box

Compact desktop units with industrial-grade enclosures for office and lab environments.

  • Fanless or active cooling
  • Multiple I/O ports
  • Tool-less access
  • Desktop mounting

Rackmount Systems

1U/2U rack-mountable systems for data center and server room deployments.

  • Standard 19" rack
  • Hot-swappable components
  • Remote management
  • Redundant power options

Rugged Industrial

IP-rated enclosures for harsh environments, outdoor deployments, and mobile applications.

  • IP65/IP67 rated
  • -40°C to +85°C range
  • Vibration resistant
  • DIN rail mounting

Vehicle-Mount

Specialized units for autonomous vehicles, drones, and mobile robotics applications.

  • E-Mark certified
  • Wide voltage input
  • GMSL2 camera support
  • CAN bus integration
Applications

Industry Use Cases

Deploy edge AI across diverse industries and applications.

Smart Manufacturing

Visual inspection, predictive maintenance, and production optimization on the factory floor.

Defect DetectionQuality ControlProcess MonitoringEquipment Analytics

Autonomous Vehicles

Perception, planning, and control for self-driving vehicles and mobile robots.

Object DetectionPath PlanningSensor FusionReal-time Control

Intelligent Video Analytics

Real-time video processing for security, retail, and smart city applications.

People CountingBehavior AnalysisLicense Plate RecognitionCrowd Monitoring

Healthcare & Medical

AI-powered medical imaging, patient monitoring, and diagnostic assistance.

Medical ImagingPatient MonitoringSurgical AssistanceDrug Discovery

Retail & Logistics

Inventory management, checkout automation, and supply chain optimization.

Inventory TrackingSelf-CheckoutDemand ForecastingLoss Prevention

Transportation & Fleet

Fleet management, driver assistance, and logistics optimization.

Driver MonitoringRoute OptimizationCargo TrackingSafety Systems
AI Agents

AI Agents at the Edge

Run autonomous agents directly on edge hardware — closer to the cameras, machines and sensors that produce the data. Decisions happen in milliseconds, even when the network is intermittent or absent.

On-Device Inference

Compact LLMs and VLMs (Llama 3.2, Phi, Gemma, Florence) run locally for natural-language reasoning over edge data without round-tripping to the cloud.

Vision-Language Agents

Agents that see, describe and act on camera feeds — quality inspection, safety monitoring, retail loss prevention, autonomous vehicle perception.

Real-Time Tool Use

Agents directly call PLCs, robot controllers, POS systems and IoT actuators with sub-100ms decision latency on-site.

Offline & Sovereign

Mission-critical operations continue when WAN fails. Data and inference stay on Australian soil — ideal for healthcare, defence and utilities.

Hub-and-spoke agent architecture

Pair edge nodes with a central DGX Spark or HGX cluster for heavy reasoning and continual learning, while local agents handle low-latency action loops. Federated updates push improved models back to the edge automatically.

Scope an edge agent pilot
FAQ

Frequently Asked Questions

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