FORGE Edge Optimization
Quantization, pruning, and compression tuned for tactical hardware and constrained edge deployments.
Overview
FORGE Edge Optimization delivers models that run reliably on constrained hardware. We optimize memory footprint, latency, and power usage while preserving accuracy for mission tasks.
This service is built for tactical devices, edge gateways, and environments where connectivity is intermittent or non-existent.
What you get
- Quantization and pruning strategy
- Compression tuned to hardware profiles
- Latency and power benchmarking
- Edge packaging and runtime setup
- Integration guidance for sensors and platforms
- Optional distillation and alignment support
Capabilities
- Quantization for INT8 and mixed precision
- Pruning to reduce model size
- Compression for edge memory constraints
- Hardware profiling and throughput tuning
- Edge runtime integration and packaging
- Deployment validation in contested environments
Technical specs
| Optimization methods | Quantization, pruning, compression |
| Hardware targets | Tactical GPUs, NPUs, edge accelerators |
| Performance goal | Low-latency inference on constrained devices |
| Deployment | Edge, on-prem, offline environments |
| Validation | Power, memory, and throughput testing |
| Typical timeline | 3 to 5 weeks |
Pipeline placement
Edge optimization bridges distillation and deployment, ensuring the model fits the hardware before final rollout.
Ideal for
- Programs with tactical or edge hardware constraints
- Deployments requiring offline inference
- Teams prioritizing power and latency budgets
- Systems with limited memory or storage
Use cases
Deploy AI where cloud access is limited or unavailable.
Tactical edge devices
Inference on ruggedized hardware with limited power and compute.
Remote infrastructure
Predictive maintenance and monitoring in disconnected environments.
Secure facilities
On-site inference for sensitive data without cloud dependencies.
Deploy AI at the edge with confidence
Optimize models for tactical environments with FORGE Edge Optimization.