October 28–31, 2019
Kari Briski US

Kari Briski US
Sr. Director: Accelerated Computing Software and AI Product, NVIDIA

Kari has been in the hardware and software solution industry for almost 20 years now, spending the last 3 years at NVidia in the data center and deep learning software group creating computing products that help people achieve their life’s work.


11:50am12:30pm Wednesday, October 30, 2019
Location: Grand Ballroom G
Neil Truong (NVIDIA), Kari Briski US (NVIDIA), Khoa Ho (NVIDIA)
Neil Truong, Kari Briski, and Khoa Ho walk you through their experience running TensorFlow at scale on GPU clusters like the DGX SuperPod and the Summit supercomputer. They explore the design of these large-scale GPU systems and detail how to run TensorFlow at scale using BERT and AI plus high-performance computing (HPC) applications as examples. Read more.
  • O'Reilly
  • TensorFlow
  • Google Cloud
  • IBM
  • 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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