Edge Optimization
Quantization, pruning, and hardware-aware compilation for tactical edge deployment.
Edge optimization prepares models for deployment on constrained hardware in contested environments. FORGE profiles target hardware, applies INT8/mixed-precision quantization, structured pruning, and memory compression to deliver low-latency inference on tactical GPUs, NPUs, and edge accelerators.
Hardware-optimized deployment with monitoring and telemetry.
What's Included
Hardware-Aware Quantization
INT8 and mixed-precision quantization tuned for specific edge accelerators and tactical hardware.
Structured Pruning
Remove redundant model structures while preserving accuracy for edge inference workloads.
Memory Compression
Reduce model memory footprint for deployment on devices with limited RAM and storage.
Hardware Profiling
Profile target edge devices to optimize compilation and runtime configuration.
Contested Environment Validation
Test model performance under degraded conditions — power loss, thermal throttling, intermittent connectivity.
Specs & Parameters
Use Cases
Tactical Edge Devices
Deploy inference on Jetson, Xavier, and tactical compute platforms in the field.
Remote Infrastructure
Optimize models for monitoring systems in disconnected or bandwidth-limited environments.
Secure Facilities
Air-gapped edge deployment with zero external connectivity requirements.
Ready for Edge Optimization?
Typical engagement: 3-5 weeks. From scoping to deployment, FORGE handles the full pipeline.