followed by distributed training at scale using PyTorch with Distributed Data Parallel (DDP) and TensorFlow with Horovod, all driven by the oneCCL communication library. Additionally, the speakers ...

In this article, I'll show how a distributed, in-memory data grid with an integrated compute engine can enable applications to run familiar TPL-based, data-parallel applications on a cluster of ...

distributed access across a large number of clients,” said Epstein. According to Epstein, AI model training times can be speeded up by nearly four times compared to other machine learning data ...