Physical AI: AI grows hands and feet.
AI is no longer only generating text or images; it now senses, decides, and acts in the physical world. At CES 2026, NVIDIA CEO Jensen Huang said the “ChatGPT moment” of Physical AI has arrived. The global related market is expected to reach $3.25 trillion by 2040, growing at a 47.2% CAGR.
Edge AI: compute moves to where data is generated.
Edge AI runs inference locally instead of in the cloud — fast, secure, and cost-saving. The 2026 global edge AI market is about $30 billion. Migrating inference from cloud to edge can reduce AI operating expenses by 40% to 70%.
AI compute platforms: from benchmark scores to real work.
Industrial AI competition is no longer about who has the highest chip TOPS. It is about whether a device can run stably in a 75°C workshop for months without throttling.
Manufacturing: AI acoustic inspection, auto-parts defect detection with 99%+ accuracy, and false detection rates reduced by 30%.
Robotics: Embodied controllers and AMRs are moving from dedicated high-compute chips to industrial edge AI computers. NVIDIA Jetson Orin Nano is becoming a standard “brain” for industrial AMRs.
Security: AI NVR is evolving from recording to real-time understanding, requiring local multi-stream decoding, inference, and analytics.
3.EA Series: Industrial Edge AI ComputersThe EA Series covers a complete compute spectrum from 6 TOPS to 275 TOPS, designed for industrial edge AI, Edge AI, and Physical AI.
|
Model |
Compute |
Platform |
Target Scenarios |
|
EA150 |
6 / 25 TOPS |
— |
Lightweight AI inference, edge control |
|
EA230 / Pro |
67 TOPS |
Orin Nano |
AIoT gateways, vision inspection, small AMR, AI NVR |
|
EA250 / Pro |
157 TOPS |
Orin NX |
Embodied/humanoid robots, multi-camera inspection, roadside/V2X, high-end AMR |
|
EA270 (coming soon) |
275 TOPS |
AGX Orin |
L4 roadside computing, large-scale robot fleet scheduling |
Common industrial features:
4.Quick Selection Guide
|
Your Scenario |
Recommended Model |
Why |
|
AI NVR video anomaly detection (1–2 channels) |
EA230 |
67 TOPS is sufficient; USB camera input |
|
Industrial visual inspection (1–4 cameras) |
EA230 Pro / EA250 Pro |
Four camera input options; 67/157 TOPS |
|
AMR / AGV controller |
EA230 Pro |
GMSL2 vibration resistance; CAN FD to chassis |
|
Embodied intelligence / humanoid robot |
EA250 Pro |
157 TOPS + 16 GB; runs VLM/VLA |
|
Roadside perception / V2X |
EA250 Pro / EA270 |
Multi-camera; wide temp/voltage; fiber backhaul |
|
Local large-model deployment |
EA250 Pro (16 GB) |
16 GB memory is the baseline |
Physical AI gives AI hands and feet. Edge AI moves compute to the data source. AI compute platforms determine whether these capabilities can run reliably in industrial sites.
The EA Series helps Physical AI and Edge AI move from the lab to the production line, and from prototype validation to batch deployment — with one industrial platform covering 6 TOPS to 275 TOPS.
