Real-time AI Inference with NVIDIA TensorRT
Training a model is only half the battle. Deploying it to run at 60fps requires aggressive optimization. NVIDIA's TensorRT is our go-to tool for wringing out every ounce of performance from our GPUs.
Table of contents:
Layer Fusion
TensorRT automatically fuses multiple operations (like Convolution + bias + ReLU) into a single kernel execution, significantly reducing memory bandwidth bottlenecks.
Precision Calibration
Quantizing models from FP32 to FP16 or INT8 can double or quadruple performance. We use entropy calibration to ensure minimal loss in accuracy when moving to lower precisions.
Dynamic Shapes
Handling variable input sizes securely and efficiently requires configuring dynamic shape profiles, allowing the engine to allocate memory optimally across bounds.