October 28–31, 2019
Nathan Luehr

Nathan Luehr
Senior Developer Technology Engineer, NVIDIA

Website

Nathan Luehr is a senior developer technology engineer at NVIDIA, where he works to accelerate deep learning frameworks. His background is in theoretical chemistry. He holds a doctoral degree from Stanford University, where he worked to accelerate electronic structure calculations on GPUs.

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

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