NVIDIA TensorRT
NVIDIA TensorRT
TensorRT is NVIDIA's high-performance deep learning inference engine designed to optimize neural network models for production deployment. It provides significant performance improvements for AI inference workloads across various applications.
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Key Features:
- Model optimization and acceleration
- Multi-precision inference (FP32, FP16, INT8)
- Dynamic shape support
- Plugin architecture for custom layers
- Integration with popular AI frameworks
AI Development Benefits:
- Faster inference performance
- Reduced memory footprint
- Optimized for NVIDIA hardware
- Support for various model formats (ONNX, TensorFlow, PyTorch)
- Production-ready deployment
Use Cases:
- Computer vision applications
- Natural language processing
- Recommendation systems
- Autonomous vehicles
- Edge AI deployment