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2019 GTC San Jose
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S9982 - Accelerate Innovation in the Enterprise with Distributed ML / DL on GPUs (Presented by HPE)

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Session Description

How do you accelerate innovation and deliver faster time-to-value for your AI initiative, while ensuring enterprise-grade security and high performance? How do you provide easy access to the tools and data your data science teams need for large-scale distributed ML/DL with greater agility for rapid prototyping and iteration? We'll discuss practical examples and lessons learned from GPU-Accelerated ML/DL use cases in financial services, healthcare, and other industries. Learn how to quickly deploy containerized multi-node environments for TensorFlow and other ML DL tools in a multi-tenant architecture with a shared pool of resources using GPUs.


Additional Information
AI Application Deployment/Inference
AI Application Deployment/Inference, AI/Deep Learning Business Track (High Level)
General
Business/Executive level
Sponsored Talk
50 minutes
Session Schedule
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