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CUDA
SKU: N/ACUDA is a parallel computing platform and programming model developed by Nvidia for general computing on its own GPUs (graphics processing units). CUDA enables developers to speed up compute-intensive applications by harnessing the power of GPUs for the parallelizable part of the computation. This post is a super simple introduction to CUDA, the popular parallel computing ...More Information -
cuDNN
SKU: N/ANVIDIA cuDNN The NVIDIA CUDA® Deep Neural Network library (cuDNN) is a GPU-accelerated library of primitives for deep neural networks. cuDNN provides highly tuned implementations for standard routines such as forward and backward convolution, pooling, normalization, and activation layers. Deep learning researchers and framework developers worldwide rely on cuDNN for high-performance GPU acceleration. It allows them ...More Information -
Pytorch
SKU: N/AProduction Ready Transition seamlessly between eager and graph modes with TorchScript, and accelerate the path to production with TorchServe. Distributed Training Scalable distributed training and performance optimization in research and production is enabled by the torch.distributed backend. Robust Ecosystem A rich ecosystem of tools and libraries extends PyTorch and supports development in computer vision, NLP ...More Information -
RAPIDS
SKU: N/AACCELERATED DATA SCIENCE The RAPIDS suite of open source software libraries gives you the freedom to execute end-to-end data science and analytics pipelines entirely on GPUs. SCALE OUT ON GPUS Seamlessly scale from GPU workstations to multi-GPU servers and multi-node clusters with Dask. PYTHON INTEGRATION Accelerate your Python data science toolchain with minimal code changes ...More Information -
TENSORFLOW
SKU: N/ATensorFlow is an end-to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML powered applications. Easy model building TensorFlow offers multiple levels of abstraction so you can choose the right one ...More Information
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