Large-Scale AI Deployments with Kubernetes on NVIDIA GPUs
By watching this webinar, replay you'll learn some of the common challenges with scaling-out deep learning training and inference deployment on data centers and public cloud using Kubernetes on NVIDIA GPUs. Through examples, we'll review a typical workflow for AI deployments on Kubernetes. We'll discuss advanced deployment options such as deploying to heterogenous GPU clusters, specifying GPU memory requirements, and analyzing and monitoring GPU utilizations using NVIDIA DCGM, Prometheus and Grafana.
ONDEMAND WEBINAR REGISTRATION
Tuesday, Dec 18, 2018
10:00am – 11:00am PT
1 Hour
Presented By
Shashank Prasanna
Senior Solutions Architect for Autonomous Driving
Shashank Prasanna is a product marketing manager at NVIDIA, where he focuses on deep learning products and applications. Previously, Shashank worked for MathWorks, makers of MATLAB, focusing on machine learning and data analytics, and for Oracle Corp., designing and developing CRM software. Shashank holds an M.S. in electrical engineering
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