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2017 GTC San Jose

S7350 - Building a Successful Deep Learning Platform: Experiences in Building GPU-Enabled HPC Clusters

Session Speakers
Session Description

Conducting deep learning research and development requires a combination of cutting-edge hardware, elastic software frameworks, and a collaborative research community. We'll provide the scaffolding for participants to construct an enterprise-scale, GPU-enabled high performance computing solution for machine learning and data science by drawing on the experiences gained while IBM Research built its Cognitive Computing Cluster. We'll start by discussing how to build a secure, shared-resource computing cluster optimized for deep learning. Next, we'll cover how to provide deep learning frameworks supporting speech, vision, language, and text processing and their underlying primitives. Finally, we'll discuss how to build a best practice knowledge base to improve research quality and accelerate discovery.


Additional Session Information
Intermediate
Talk
Data Center and Cloud Computing Deep Learning and AI HPC and Supercomputing
25 minutes
Session Schedule