WEBINAR
Sub brand
Date: August 25, 2021
Time: 10:00am – 11:00am PDT
Duration: 1 hour
Time: 10:00am – 11:00am PDT
Duration: 1 hour
Organizations across industries are leveraging computer vision to improve the product experience, increase production, and drive operational efficiencies. But, building a computer vision solution requires large amounts of labelled data, and the software and hardware infrastructure to train the AI models, as well as the tools to run real-time inference that will scale with demand. With one click, NVIDIA NGC™ containers for AI can be deployed from Google Cloud Marketplace to GKE, a managed Kubernetes service on Google Cloud, making it easy for enterprises to build, deploy, and run their AI solutions.
- How to use the NGC catalog via GCP Marketplace to accelerate your AI workflows.
- How Transfer Learning Toolkit can be used as a template for building a custom computer vision model with a pretrained model from NGC and a custom training data set.
- How to easily deploy a Triton inferencing container from the GCP Marketplace that will scale inference using GKE.
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DGX Station Whitepaper
Dive deeper into the DGX Station and learn more about the architecture, NVLink, frameworks, tools and more.
Dive deeper into the DGX Station and learn more about the architecture, NVLink, frameworks, tools and more.
DGX Station Whitepaper
Dive deeper into the DGX Station and learn more about the architecture, NVLink, frameworks, tools and more.
Dive deeper into the DGX Station and learn more about the architecture, NVLink, frameworks, tools and more.
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Speakers
Chintan Patel
Senior Product Marketing Manager, NGC, NVIDIAChintan Patel is focused on bringing GPU-accelerated solutions to the HPC community. He leads the management and offering of the HPC application containers for the NGC Catalog. Prior to NVIDIA, he held product management, marketing, and engineering positions at Micrel, Inc. He holds an MBA from Santa Clara University and a bachelor's degree in electrical engineering and computer science from UC Berkeley.
Dong Meng
Solutions Architecture Engineer, NVIDIADong Meng is experienced in big data platforms and accelerator performance optimization. He works with public cloud service providers to deploy cloud-based GPU-accelerated solutions for machine learning training/inference, and data analytics.
Kevin Tsai
Head of Data and AI Solution Architecture, GoogleKevin Tsai leads a team of solution architects at Google focused on data and AI. In his over 20 years in the tech industry, Kevin has worked across data, analytics, machine learning, and more. Outside of work, Kevin enjoys being a father of two boys and rehabbing real estate properties.
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