Edge AI & Automation

Intelligence at the industrial edge — 275 TOPS, sub-50ms, offline-resilient

Deploy AI models directly on industrial edge hardware — zero cloud dependency, sub-50ms inference, resilient in offline environments. From 10-day pilots to multi-factory global orchestration, Nexa Edge and NVIDIA Jetson bring 275 TOPS of AI power to the production floor.

Edge AI Hardware & Deployment

Nexa Edge Appliance, NVIDIA Jetson Orin AGX (275 TOPS), Dell VEP4600 and Lenovo SE100 purpose-built for industrial AI inference. OTA model updates, lifecycle management and offline resilience.

Nexa Edge Industrial Appliance (OEM)
NVIDIA Jetson Orin AGX — 275 TOPS
NVIDIA Jetson Nano — 472 GFLOPS
Dell VEP4600 Enterprise Server
Lenovo SE100 (−20°C to 60°C)
OTA Model Updates & Versioning
Model Lifecycle Management Platform
Centralised Multi-Site Orchestration

Predictive Maintenance AI

Vibration, thermal and acoustic sensors on rotating equipment predict bearing failure, motor degradation and hydraulic faults weeks ahead — with automated CMMS work order generation.

Remaining Useful Life (RUL) Models
Vibration Signature Analysis (FFT/ML)
Thermal Anomaly Detection & Trending
Acoustic Fault Detection Models
CMMS / ServiceNow Work Order Integration
Automated Maintenance Scheduling
Multi-Asset Fleet Health Dashboard
Prognostics & Health Management (PHM)

Deployment Methodology

Structured three-phase approach: 10-day pilot on one machine, 4-month full factory deployment, then multi-factory global orchestration — risk-managed, fast and repeatable.

Day 1–10: Single-Machine Edge AI Pilot
Weeks 2–4: Pilot Review & Scale Decision
Month 1–4: Full Factory Production Deployment
Month 4+: Multi-Factory Global Orchestration
Operational Calendar-Aligned Rollout
Risk-Managed Go/No-Go Gates
Training & Knowledge Transfer Programme
Ongoing Model Optimisation & Retraining

Ready to get started?

Talk to a Delfers engineer about your specific challenge.