SCDL seems to me to have two parts: a format for efficient access to row-wise data, and a PyTorch Dataset derivative. The former has many uses beyond PyTorch and the project I work on explicitly tries ...

A sprawling $25 billion data center campus is set to break ground in north central West Texas, as the state's power grid continues to feel the strain of the rise of AI. Vantage Data Centers announced ...

Abstract: Training deep learning models is computationally demanding and data-intensive. Existing approaches utilize local SSDs within training servers to cache datasets, thereby accelerating data ...

My custom PyTorch Dataset receives a 3D tensor (these tensors have various shapes). It applies Gaussian blur preprocessing on the CPU. It returns the processed tensor. To speed up processing, I want ...