Intelligence at the Edge
Edge AI inference runs AI workloads directly on local compute—next to the robot, not in a distant data center. This eliminates network latency for time-critical decisions while maintaining enterprise governance over what models run, where, and how they're updated. The Cyberwave edge runtime bridges local autonomy with cloud-scale management.
System Architecture
Edge nodes bridge local robots with cloud orchestration, enabling low-latency inference with enterprise management
The edge node operates independently when disconnected from the cloud. All inference, safety policies, and local control continue to function. When connectivity returns, telemetry syncs and updates can be pulled.
Performance
Edge inference delivers the latency guarantees that real-time robotics demands.
Edge Runtime
The Cyberwave edge runtime is a lightweight container that runs on edge nodes, managing model inference, safety enforcement, and communication with both robots and the cloud platform.
Edge Runtime Capabilities
Run neural networks for perception, control, and decision-making with deterministic latency
Apply velocity limits, geofences, and emergency stops regardless of model outputs
Capture sensor data, model predictions, and system metrics for monitoring
Update models without restarting the runtime or interrupting operations
Isolated containers with signed artifacts and encrypted communications
Full functionality continues when cloud connectivity is unavailable
Model Lifecycle
Manage models from training to production with full traceability. Every deployment is versioned, every change is auditable, and rollbacks are instant.
Model Lifecycle Management
- ONNX, TensorRT, PyTorch
- Version tagging
- Metadata capture
- Immutable versions
- Training run links
- Diff comparison
- Target hardware
- Rollout strategy
- Rollback triggers
- Staged rollouts
- Canary deployments
- A/B testing
- Inference latency
- Accuracy metrics
- Resource usage
Hardware Support
Deploy to the hardware that fits your constraints—from powerful GPU-accelerated platforms to lightweight embedded devices.
Supported Hardware
Models are automatically optimized for the target hardware during deployment. Upload once in a standard format, and Cyberwave handles quantization, graph optimization, and acceleration library selection.
Enterprise Governance
Edge AI doesn't mean uncontrolled AI. Every model deployment follows your organization's policies for safety, security, and compliance.
Governance & Security
See Edge AI in Action
Explore how organizations deploy AI at the edge for autonomous inspection, real-time safety monitoring, and intelligent robotics.