Model Onboarding & Hardware Optimization

The model works in the lab. We make it work on the hardware

Getting a trained model to run efficiently on constrained silicon is a specific and hard engineering problem. Unsupported operators, quantization accuracy loss, SDK-specific conversion requirements, latency constraints — each hardware target has its own set of challenges. We port, optimize, and validate models for Qualcomm Snapdragon platforms, NVIDIA Jetson, ARM embedded, and other edge silicon. Every artifact is benchmarked on real hardware before delivery. This is our model factory capability — repeatable, tooled, and better with every job.

What's Included

• Model porting to target hardware: Qualcomm IQ9/IQ10, NVIDIA Jetson, ARM, and other edge platforms
• Quantization and precision optimization: INT8, INT4, mixed-precision — calibrated for accuracy on your domain
• Custom operator implementation for models with operations not natively supported on target silicon
• Real hardware validation: latency, throughput, and accuracy measured on the actual device
• Benchmark report: latency, throughput, accuracy delta, power consumption on target hardware
• Integration guide and deployment package included with every engagement
• Batch programs for systematic model zoo onboarding — multiple models, defined scope, volume pricing