Simulation / Modeling / Design

Share Your Science: Scaling Deep Learning with GPUs

Nov 21, 2015

By Brad Nemire

Bryan Catanzaro, Senior Researcher at Baidu, shares how his company is Tesla and TITAN GPUs for a variety of Artificial Intelligence applications, including speech recognition, and natural language understanding.

Watch Bryan’s talk in the NVIDIA GPU Technology Theater at SC15: Watch Now
Learn more about their research at http://bit.ly/1NE1cPi

Share your GPU-accelerated science with us: http://nvda.ly/Vpjxr
Watch more scientists and researchers share how accelerated computing is #thepathforward: Watch Now

Related resources

DLI course: Deep Learning at Scale with Horovod
GTC session: Getting Started with Multi-GPU Scaling: Distributed Libraries
GTC session: Enabling Exabyte Scale AI Training and Inference (Presented by Pure Storage)
GTC session: NCCL: The Inter-GPU Communication Library Powering Multi-GPU AI
SDK: RAPIDS Accelerator for Spark
Webinar: Accelerating Python with GPUs

Discuss (0)

About the Authors

About Brad Nemire
Brad Nemire leads the Developer Communications team at NVIDIA. Prior to NVIDIA, he worked at Arm on the Developer Relations team. Brad graduated from San Diego State University and currently resides in Silicon Valley.

View all posts by Brad Nemire