Inference & Deployment
NIM microservices, Jetson edge deployment, Kubernetes orchestration, and air-gapped capability for production robotics AI.
Deploy trained models as NVIDIA NIM microservices optimized for production workloads. Support for Jetson Orin edge devices, cloud GPU clusters, and air-gapped on-premises infrastructure with Kubernetes orchestration for fleet management.
Production deployment with monitoring and fleet management.
What's Included
NIM Microservices
Package models as NVIDIA NIM containers for standardized deployment, versioning, and scaling.
Jetson Edge Deployment
Optimized inference on NVIDIA Jetson Orin for <50ms latency at the edge with power-efficient operation.
Kubernetes Orchestration
Fleet-wide model deployment, rollback, A/B testing, and monitoring with K8s operators.
Air-Gapped Mode
Fully offline deployment for classified and disconnected environments with zero external connectivity.
Monitoring & Telemetry
Real-time model performance monitoring, drift detection, and operational dashboards.
Specs & Parameters
Use Cases
Tactical Edge Devices
Deploy robot AI on ruggedized Jetson hardware for field operations with intermittent connectivity.
Multi-Site Fleet
Orchestrate model updates across hundreds of robots in multiple facilities with staged rollouts.
Sovereign Infrastructure
Air-gapped deployment within classified networks and controlled-access facilities.
Ready for Inference & Deployment?
Typical engagement: 2-4 weeks. From assessment to deployment, FORGE Kinetic handles the full pipeline.