Edge AI for Energy

Deploy GPU infrastructure at generation plants, substations, and remote field sites. Edge inference for asset monitoring, grid operations, and safety compliance without cloud connectivity.

Energy & Utilities Challenges

Critical infrastructure security

Real-time grid balancing

Asset monitoring across remote locations

Regulatory compliance (NERC, FERC)

Integration with SCADA systems

How Edge & Bare Metal Deployments Solves Energy & Utilities Challenges

Planning and operating GPU fleets across factories, research hubs, and remote sites. Jetson, Fleet Command, and bare metal roll-outs with zero-trust networking and remote lifecycle management.

Edge GPU Orchestration

Deploy and manage NVIDIA Jetson, IGX, and custom GPU infrastructure at remote locations.

Fleet Command Integration

Centralized management, OTA updates, and monitoring for distributed edge deployments.

Air-Gapped Operations

CI/CD pipelines and model updates for environments without internet connectivity.

Remote Observability

Real-time monitoring, alerting, and diagnostics for edge AI workloads.

Use Cases

  • Asset inspection AI at remote generation sites
  • Substation monitoring with edge computer vision
  • Pipeline surveillance with edge GPU processing
  • Wind and solar farm optimization at the edge
  • Safety compliance monitoring at field locations

Key Benefits

AI operations at remote sites without connectivity

Real-time inference for critical infrastructure monitoring

NERC CIP compliance with air-gapped deployment

Reduced bandwidth from distributed field sites

Centralized fleet management for remote GPU assets

Technology Stack

NVIDIA Jetson / IGXFleet CommandOpenShift AIAir-Gapped CI/CDEdge Kubernetes (K3s, MicroK8s)OTA Update Systems

Ready to Deploy Edge & Bare Metal Deployments for Energy & Utilities?

Let's discuss how our edge & bare metal deployments capabilities can address your energy & utilities challenges.

Get in Touch