NVIDIA cuDNN
NVIDIA cuDNN
cuDNN (CUDA Deep Neural Network library) is a GPU-accelerated library of primitives for deep neural networks. It provides highly tuned implementations for standard routines such as forward and backward convolution, pooling, normalization, and activation layers.
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Key Features:
- Optimized deep learning primitives
- Support for various data types (FP32, FP16, INT8)
- Highly tuned convolution algorithms
- Integration with major AI frameworks
- Cross-platform compatibility
AI Development Benefits:
- Accelerated neural network training
- Optimized inference performance
- Industry-standard deep learning operations
- Seamless framework integration
- Production-ready performance
Supported Operations:
- Convolution (forward and backward)
- Pooling operations
- Activation functions
- Normalization layers
- Recurrent neural networks
- Attention mechanisms