Upgrade to the newest versions of NVIDIA CUDA-X libraries

Learn what’s new in the latest releases of cuDNN, CUDA, TensorRT, DALI, and Nsight Compute.

cuDNN 7.5

The NVIDIA CUDA Deep Neural Network library (cuDNN) is a GPU-accelerated library of primitives for deep neural networks. This version of cuDNN includes:

Multi-head attention for accelerating popular models such as Transformer
Improved depth-wise separable convolution for training models such as Xception and Mobilenet

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CUDA 10.1 Update 1

CUDA is the parallel computing platform and programming model for general-purpose computing on NVIDIA GPUs. This version of CUDA includes:

Improved SpMM/SpMV kernel performance in cuSPARSE for sparse applications in high-performance computing (HPC) and machine learning
Graph API support in cuFFT to allow use of FFT kernels in CUDA Graphs
Extended data type support and improved heuristics in cuBLAS for all HPC and machine learning applications
APIs for stream parsing, memory control, decoding, and multi-channel bitstreams in nvJPEG

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TensorRT 5.1 GA

NVIDIA TensorRT is a platform for high-performance deep learning inference. This version of TensorRT includes:

Optimization of new models such as DenseNet and TinyYOLO with support for over 20 new layers, activations, and operations in TensorFlow and ONNX
The ability to speed up deployment by updating model weights in an existing engine without rebuilding them
Application deployment in INT8 precision on NVIDIA Xavier™-based NVIDIA AGX™ platforms using the NVIDIA DLA accelerator

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DALI 0.9

The NVIDIA Data Loading Library (DALI) is a portable, open-source GPU-accelerated library for decoding and augmenting images and videos to accelerate deep learning applications. This version of DALI includes: