October 28–31, 2019
Josh Romero

Josh Romero
Developer Technology Engineer , NVIDIA

Website

Josh Romero is a developer technology engineer at NVIDIA. He has extensive experience in GPU computing from porting and optimizing high-performance computing (HPC) applications to more recent work with deep learning. Josh earned his PhD from Stanford University, where his research focused on developing new computational fluid dynamics methods to better exploit GPU hardware.

Sessions

1:30pm5:00pm Tuesday, October 29, 2019
Location: Grand Ballroom E
Maggie Zhang (NVIDIA), Nathan Luehr (NVIDIA), Josh Romero (NVIDIA), Pooya Davoodi (NVIDIA), Davide Onofrio (NVIDIA)
Average rating: ****.
(4.00, 1 rating)
Maggie Zhang, Nathan Luehr, Josh Romero, Pooya Davoodi, and Davide Onofrio give you a sneak peek at software components from NVIDIA’s software stack so you can get the best out of your end-to-end AI applications on modern NVIDIA GPUs. They also examine features and tips and tricks to optimize your workloads right from data loading, processing, training, inference, and deployment. Read more.
  • 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

Contact us

confreg@oreilly.com

For conference registration information and customer service

partners@oreilly.com

For more information on community discounts and trade opportunities with O’Reilly conferences

sponsorships@oreilly.com

For information on exhibiting or sponsoring a conference

pr@oreilly.com

For media/analyst press inquires