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2017 GTC San Jose

S7568 - Optimizing, Profiling, and Deploying TensorFlow AI Models in Production with GPUs

Session Speakers
Session Description

Using the latest advancements from TensorFlow including the Accelerated Linear Algebra (XLA) Framework, JIT/AOT Compiler, and Graph Transform Tool, Chris will demonstrate how to optimize, profile, and deploy TensorFlow Models in GPU-based production environment. This talk is 100% demo based with open source tools and completely reproducible through Docker on your own GPU cluster.


Additional Session Information
Intermediate
Tutorial
AI Startup Data Center and Cloud Computing Deep Learning and AI Federal
Cloud Services Media & Entertainment Software
50 minutes
Session Schedule