Part 7/13:
- Model Optimization: Using tooling assets like TensorRT and code optimizers can significantly boost inference performance, especially for transformer-based models that are computationally intensive.
Introducing Triton Inference Server
Triton, developed by NVIDIA, is designed to address these challenges:
Multi-Framework Support: Supports models from TensorFlow, PyTorch, ONNX Runtime, OPENMINDED, XGBoost, and more, enabling seamless integration of diverse model architectures.
Flexible Deployment: Can run on cloud (GCP, AWS, Azure), on-prem, edge, or embedded devices, providing versatility in deployment scenarios.