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.
NVIDIA Jetson Platform
275
Max TOPS
64GB
Max Memory
-40°C
Min Temp
IP67
Protection
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.
Rugged enclosures, wide temperature operation, and extended product lifecycle.
Multiple USB, Ethernet, serial ports, plus optional WiFi, 4G/5G, and LoRa.
Support for GMSL2, MIPI CSI, GPIO, CAN bus, and other industrial interfaces.
Choose the right performance tier for your edge AI deployment needs.
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
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
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
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
Choose the form factor that matches your deployment environment.
Compact desktop units with industrial-grade enclosures for office and lab environments.
1U/2U rack-mountable systems for data center and server room deployments.
IP-rated enclosures for harsh environments, outdoor deployments, and mobile applications.
Specialized units for autonomous vehicles, drones, and mobile robotics applications.
Deploy edge AI across diverse industries and applications.
Visual inspection, predictive maintenance, and production optimization on the factory floor.
Perception, planning, and control for self-driving vehicles and mobile robots.
Real-time video processing for security, retail, and smart city applications.
AI-powered medical imaging, patient monitoring, and diagnostic assistance.
Inventory management, checkout automation, and supply chain optimization.
Fleet management, driver assistance, and logistics optimization.
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.
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.
Agents that see, describe and act on camera feeds — quality inspection, safety monitoring, retail loss prevention, autonomous vehicle perception.
Agents directly call PLCs, robot controllers, POS systems and IoT actuators with sub-100ms decision latency on-site.
Mission-critical operations continue when WAN fails. Data and inference stay on Australian soil — ideal for healthcare, defence and utilities.
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.
Contact us to discuss your edge computing requirements and find the right solution for your deployment.
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