End-to-end data flow
01
Sensors & Cameras
Video / LiDAR / IMU
02
Jetson Edge AI
TensorRT inference
03
DeepStream Pipeline
Multi-stream video
04
Isaac ROS / Apps
ROS 2 navigation
05
Triton / NIM
Model serving
06
Fleet Command / Omniverse
Ops + digital twin
Architecture layers
Edge AI Hardware Layer
Jetson AGX Orin
Up to 275 TOPS for multi-DNN robotics, AMRs and industrial inspection
Jetson Orin NX / Nano
Compact modules for cost-sensitive vision and sensor-fusion deployments
NVIDIA IGX Orin
Industrial edge AI with functional-safety pathways for certified systems
Jetson Thor (next-gen)
Higher-performance humanoid and physical-AI class edge compute for advanced autonomy
Edge Software & Runtime Layer
NVIDIA DeepStream
GStreamer analytics pipelines for multi-camera industrial video
Isaac ROS
GPU-accelerated ROS 2 packages for depth, detection, pose and navigation
NVIDIA TAO Toolkit
Transfer learning to fine-tune NVIDIA vision models on custom plant data
JetPack SDK
Linux, CUDA, cuDNN, TensorRT and VPI — complete Jetson software stack
Inference & Optimization Layer
TensorRT / TensorRT-LLM
Optimised inference with quantization and kernel fusion for vision and LLMs
Triton Inference Server
Multi-framework serving with dynamic batching and concurrent model execution
NVIDIA NIM
Containerised inference microservices for LLMs, vision, speech and domain models
NIM Agent Blueprints
Reference agent workflows combining NIM models, retrieval and tool use
Training & Foundation Model Layer
NVIDIA DGX / DGX Cloud
Validated multi-GPU systems and cloud capacity for large-scale training
NVIDIA NeMo
LLM and speech frameworks — pretrain, LoRA fine-tune, RLHF and evaluation
NVIDIA Cosmos
World foundation models for physical AI simulation and synthetic data generation
NVIDIA BioNeMo
Generative AI for drug discovery and computational biology
Platform & Simulation Layer
NVIDIA Omniverse
USD-based collaboration and simulation for factory and warehouse digital twins
NVIDIA Isaac Sim
Photoreal robotics simulation — synthetic data, nav and manipulation testing
NVIDIA Fleet Command
Deploy, manage and monitor NVIDIA-certified edge AI systems at scale
NGC Catalog
GPU-optimised containers, models, SDKs and Helm charts
Industrial AI use cases
Autonomous Mobile Robots
Isaac ROS + Jetson Orin + DeepStream
Real-Time Visual Inspection
DeepStream + TensorRT + TAO
Factory Digital Twin
Omniverse + Isaac Sim + Replicator
Edge LLM Inference
NIM + TensorRT-LLM + Jetson / IGX
Predictive Maintenance
Triton + NeMo + time-series models
Industrial Fleet AI
Fleet Command + AGX Orin + DeepStream
Key differentiators
Edge-to-cloud GPU continuum
Same CUDA software path from Jetson on the plant floor to DGX Cloud in the data centre.
Production inference stack
TensorRT, Triton and NIM turn research models into managed, portable microservices.
Physical AI & twins
Omniverse, Isaac Sim and Cosmos close the loop between simulation and deployed robots.
Robotics-native tooling
Isaac ROS and DeepStream are purpose-built for AMRs, vision and multi-sensor autonomy.
Jetson platform comparison
| Model | AI perf. | Power | Typical use |
|---|---|---|---|
| Jetson Nano | ~21 TOPS | 5–10W | Entry vision prototyping |
| Jetson Orin NX 8GB | ~70 TOPS | 10–20W | Industrial inspection, compact robots |
| Jetson Orin NX 16GB | ~100 TOPS | 10–25W | Multi-sensor fusion |
| Jetson AGX Orin 32GB | ~200 TOPS | 15–40W | AMRs, multi-camera edge servers |
| Jetson AGX Orin 64GB | ~275 TOPS | 15–60W | Full autonomy, multi-DNN inference |