NVIDIA WEBINAR
Sub brand
Date: Wednesday, August 26, 2020
Time: 10:00am – 11:00am PT
Duration: 1 hour
Time: 10:00am – 11:00am PT
Duration: 1 hour
AI is going mainstream and is quickly becoming pervasive in every industry - from autonomous vehicles to drug discovery. However, developing and deploying AI applications is a challenging endeavor, requiring a scalable infrastructure of hardware, software and intricate workflows. To accelerate the end-to-end AI workflow, there is a need for a unified platform that gets you to production faster.
In this webinar, you’ll learn the following:
- How to use NVIDIA GPUs in Amazon SageMaker to accelerate your AI
- The integration between Amazon SageMaker and NVIDIA NGC’s GPU optimized containers, models and code samples
- How to adapt and extend the examples (containers and pre-trained models) to your own use case
WEBINAR REGISTRATION
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Main Content
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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
Isaac Privitera
AI/ML Specialist Solutions Architect, AWSIsaac Privitera is an AI/ML Specialist Solutions Architect at AWS, and helps customers design and build enterprise grade AI/ML solutions on the AWS platform. Isaac has a background in utilizing machine learning and accelerated computing for computer vision and signals analysis.
Shreyas Subramanian
AI/ML Specialist Solutions Architect, AWSShreyas Subramanian is a AI/ML specialist Solutions Architect at AWS, and helps customers by using Machine Learning to solve their business challenges using the AWS platform. Shreyas has a background in large scale optimization and Machine Learning, and in use of Machine Learning and Reinforcement Learning for accelerating optimization tasks.
Chris Parsons
Product Manager, NGC, NVIDIAChris Parsons is a product manager for NGC at NVIDIA, specifically looking after the models, scripts and Helm charts available through the platform. Prior to joining NVIDIA, Chris was the AI Technology Lead for IBM Systems Europe, setting the technical strategy and go-to-market plans for the IBM portfolio. Chris also has experience in DevOps and mobile development, with numerous apps (including two that classify brands of chocolate and beer!) deployed to the iOS/Android app stores.
Akhil Docca
Senior Product Marketing Manager, NGC, NVIDIAAkhil Docca is a senior product marketing manager for NGC at NVIDIA, focusing in HPC and DL containers. Akhil has a Master’s in Business Administration from UCLA Anderson School of Business and a Bachelor’s degree in Mechanical Engineering from San Jose State University.
Other Speakers
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