Is it possible to assign specific layers to specific GPUs in PyTorch?
Monday, 17 June 2024
by Agnieszka Ulrich
PyTorch, a widely utilized open-source machine learning library developed by Facebook's AI Research lab, offers extensive support for deep learning applications. One of its key features is its ability to leverage the computational power of GPUs (Graphics Processing Units) to accelerate model training and inference. This is particularly beneficial for deep learning tasks, which often
- Published in Artificial Intelligence, EITC/AI/DLPP Deep Learning with Python and PyTorch, Data, Datasets
Tagged under:
Artificial Intelligence, DataParallel, DistributedDataParallel, GPU, Neural Networks, PyTorch
How PyTorch reduces making use of multiple GPUs for neural network training to a simple and straightforward process?
Saturday, 02 September 2023
by EITCA Academy
PyTorch, an open-source machine learning library developed by Facebook’s AI Research lab, has been designed with a strong emphasis on flexibility and simplicity of use. One of the important aspects of modern deep learning is the ability to leverage multiple GPUs to accelerate neural network training. PyTorch was specifically designed to simplify this process in
- Published in Artificial Intelligence, EITC/AI/DLPP Deep Learning with Python and PyTorch, Advancing with deep learning, Computation on the GPU, Examination review
Tagged under:
Artificial Intelligence, DataParallel, DistributedDataParallel, Mixed Precision, Model Sharding, Multi-GPU, PyTorch