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Make Data Work
September 11, 2018: Training & Tutorials
September 12–13, 2018: Keynotes & Sessions
New York, NY

Kubernetes on GPUs (sponsored by NVIDIA)

Michael Balint (NVIDIA)
2:05pm–2:45pm Wednesday, 09/12/2018
Data science and machine learning, Deep Learning sponsored by NVIDIA, Sponsored
 Location: 1 E15

What you'll learn

  • Learn how NVIDIA employs its own distribution of Kubernetes, in conjunction with DGX hardware, to make the most efficient use of GPU resources and scale its efforts across a cluster

Description

Building an AI application can be a challenging, iterative, and time-consuming endeavor, and empowering an entire team to build and deploy multiple AI applications simultaneously can be quite daunting. It doesn’t have to be that way. Leveraging the right infrastructure can make the entire process a joy.

Michael Balint explains how NVIDIA employs its own distribution of Kubernetes, in conjunction with DGX hardware, to make the most efficient use of GPU resources and scale its efforts across a cluster, allowing multiple users to run experiments and push their finished work to production.

Topics include:

  • Kubernetes on NVIDIA GPUs
  • The benefits of leveraging it and when should you use it
  • How to deploy it in a cluster
  • Use cases and demos
  • Monitoring job state and GPU health
  • Helpful resources
  • Future features and functionality

This session is sponsored by NVIDIA.

Photo of Michael Balint

Michael Balint

NVIDIA

Michael Balint is a senior manager of applied solutions engineering at NVIDIA. Previously, Michael was a White House Presidential Innovation Fellow, where he brought his technical expertise to projects like Vice President Biden’s Cancer Moonshot program and Code.gov. Michael has had the good fortune of applying software engineering and data science to many interesting problems throughout his career, including tailoring genetic algorithms to optimize air traffic, harnessing NLP to summarize product reviews, and automating the detection of melanoma via machine learning. He is a graduate of Cornell and Johns Hopkins University.