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2017 GTC San Jose

S7737 - Deep Learning Frameworks with Spark and GPUs

Session Speakers
Session Description

Spark is a powerful, scalable, real-time data analytics engine that is fast becoming the de facto hub for data science and big data. However, in parallel, GPU clusters is fast becoming the default way to quickly develop and train deep learning models. As data science teams and data savvy companies mature, they'll need to invest in both platforms if they intend to leverage both big data and artificial intelligence for competitive advantage. We'll discuss and show in action an examination of TensorflowOnSpark, CaffeOnSpark, DeepLearning4J, IBM's SystemML, and Intel's BigDL and distributed versions of various deep learning frameworks, namely TensorFlow, Caffe, and Torch.


Additional Session Information
Advanced
Talk
AI Startup Deep Learning and AI Performance Optimization
Cloud Services Hardware / Semiconductor Software
50 minutes
Session Schedule