CUDA
NVIDIA's parallel computing platform for using GPUs for general-purpose computation.
CUDA is a platform and programming interface developed by NVIDIA that makes it possible to use graphics processing units (GPUs) not only for graphics but for general-purpose, parallel computation. Tasks are split into many threads that run simultaneously on the numerous processing units of a GPU.
In machine learning, CUDA is of central importance, since frameworks such as TensorFlow and PyTorch build on it to accelerate the training and inference of neural networks on NVIDIA GPUs. The compute-intensive matrix operations benefit greatly from the parallel architecture.
What Provimedia uses it for
Provimedia uses CUDA-capable GPUs when the training or inference of AI models in AI development needs to be accelerated.
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