October 28–31, 2019
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Accelerating TensorFlow for research and deployment (sponsored by NVIDIA)

Ujval Kapasi (NVIDIA)
9:25am9:30am Thursday, October 31, 2019
Location: Mission City Ballroom

Machine learning on NVIDIA GPUs and systems allows developers to solve problems that seemed impossible just a few years ago. Ujval Kapasi explains how software and hardware advances on GPUs impact development efforts across the community, both today and in the future.

This keynote is sponsored by NVIDIA.

Photo of Ujval Kapasi

Ujval Kapasi

NVIDIA

Ujval Kapasi is the vice president of deep learning software at NVIDIA, where he works on software, algorithms, and tools for deep learning, machine learning, and HP.

  • O'Reilly
  • TensorFlow
  • Google Cloud
  • IBM
  • NVIDIA
  • Databricks
  • Tensor Networks
  • VMware
  • Amazon Web Services
  • One Convergence
  • Quantiphi
  • Lambda Labs
  • Tech Mahindra
  • cnvrg.io
  • Determined AI
  • Inferencery
  • Manceps, Inc.
  • PerceptiLabs
  • Valohai

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