Part 9/13:
To maximize inference efficiency, especially on NVIDIA GPUs, optimized models are critical:
TensorRT (TRT): A platform-specific deep learning inference optimizer that fuses layers, reduces precision (FP16, INT8), and accelerates execution.
Tensority: An open-source compiler that converts models into ONNX format and applies advanced optimizations like operator fusion, layer fusion, and precision reductions, further boosting inference speed.
Workflow Overview:
Train the model (PyTorch, TensorFlow).
Convert to ONNX format.
Optimize with Tensority (supporting mixed precision—FP16, INT8).
Deploy on Triton for scalable, high-performance serving.