Over the past decade, NVIDIA has been able to illustrate the effectiveness of its GPUs across the board for both deep learning training and inference. As these models become larger, the inherent need to scale up for training and scale out for deploying such large models has become a necessity. In this session, we will walk through a few NVIDIA software stacks for efficient distributed training as well as streamlined deployment and dive deep into how Amazon adopts them for some of their most demanding workloads. Download slides »
Speaker: Michael Lang, Solutions Architecture Manager, APAC South, NVIDIA
Duration: 30mins
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