Benchmarking and co-design are essential for driving optimizations and
i...
As deep learning models and input data are scaling at an unprecedented r...
Building and maintaining large AI fleets to efficiently support the
fast...
RDMA over Converged Ethernet (RoCE) has gained significant attraction fo...
The continuous growth in both size and training data for modern Deep Neu...
Deep learning recommendation models (DLRMs) are used across many
busines...
Deep Learning (DL) training platforms are built by interconnecting multi...
Deep Learning (DL) training platforms are built by interconnecting multi...
Large-scale training is important to ensure high performance and accurac...
The deep neural networks (DNNs) have been enormously successful in tasks...
The state-of-the-art (SOTA) for mixed precision training is dominated by...
The exponential growth in use of large deep neural networks has accelera...
This paper presents the first, 15-PetaFLOP Deep Learning system for solv...